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Sr. Content Developer at Microsoft, working remotely in PA, TechBash conference organizer, former Microsoft MVP, Husband, Dad and Geek.
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Pennsylvania, USA
Let's learn about Ai via these 500 free blog posts. They are ordered by HackerNoon reader engagement data. Visit the /Learn or LearnRepo.com to find the most read blog posts about any technology.
Humans with irrational brains writing about machines with rational brains. This tag is sponsored by Bright Data. Write a story on data collection at scale for AI and win from $2,500!
1. Gradient Descent: All You Need to Know
What’s the one algorithm that’s used in almost every Machine Learning model? It’s Gradient Descent. There are a few variations of the algorithm but this, essentially, is how any ML model learns. Without this, ML wouldn’t be where it is right now.
2. 6 Best Open-Source Projects for Real-Time Face Recognition
3. Crossentropy, Logloss, and Perplexity: Different Facets of Likelihood
We explore the link between three popular loss functions: crossentropy, logloss and perplexity
4. Top 5 Machine Learning Projects for Beginners
As a beginner, jumping into a new machine learning project can be overwhelming. The whole process starts with picking a data set, and second of all, study the data set in order to find out which machine learning algorithm class or type will fit best on the set of data.
5. How to Talk to ChatGPT: An Intro to Prompt Engineering
Prompting is pretty much the only skill you now require to be a master of these new large and powerful generative models such as ChatGPT.
6. ChatGPT Explained in 5 Minutes
ChatGPT has taken over Twitter and pretty much the whole internet, thanks to its power and the meme potential it provides.
7. Search Algorithms in Artificial Intelligence
There can be one or many solutions to a given problem, depending on the scenario, As there can be many ways to solve that problem. Think about how do you approach a problem. Lets say you need to do something straight forward like a math multiplication. Clearly there is one correct solution, but many algorithms to multiply, depending on the size of the input. Now, take a more complicated problem, like playing a game(imagine your favorite game, chess, poker, call of duty, DOTA, anything..). In most of these games, at a given point in time, you have multiple moves that you can make, and you choose the one that gives you best possible outcome. In this scenario, there is no one correct solution, but there is a best possible solution, depending on what you want to achieve. Also, there are multiple ways to approach the problem, based on what strategy you choose to have for your game play.
8. Introducing Drag Your GAN: Drag Objects to Create New Images
This isn’t just editing, but actually the creation of completely new images, allowing you to change object positions, subject poses, and more.
9. I Conducted Experiments With the Alpaca/LLaMA 7B Language Model: Here Are the Results
I set out to find out Alpaca/LLama 7B language model, running on my Macbook Pro, can achieve similar performance as chatGPT 3.5
10. The Silent Revolution: AI-Driven Network Decisions in Real-Time
The telecommunications industry is experiencing an extraordinary shift: infrastructure that operates with independent judgment.
11. 10 Best Datasets for Time Series Analysis
In order to understand how a certain metric varies over time and to predict future values, we will look at the 10 Best Datasets for Time Series Analysis.
12. How to Detect and Minimise Hallucinations in AI Models
While it is evident that machine learning algorithms are able to solve more challenging requirements, they are not yet perfect.
13. AI and B2B: Setting Up New Marketing With the Help of GenAI
Explore how AI transforms B2B marketing through enhanced content creation and analytics, while learning to sidestep common pitfalls for maximum benefit.
14. AI Sex Is Almost Here - And the World Isn't Ready for It
As soon as we have a new technology, we use it to make p*rn. Any rudimentary search on the printing press, radio, TV, and the internet proves this. In fact, the internet’s early success was likely due to the technology’s ability to propagate erotic images and videos.
15. AI-Generated vs. Human-Written Text: Technical Analysis
Explore an in-depth comparison of AI-generated vs human-written text, highlighting the role of perplexity and burstiness in language models.
16. 50 Killer AI Projects
Because of the hefty amount of data that are there without any practical use.
17. Capsule Networks Are Shaking up AI — Here’s How to Use Them
If you follow AI you might have heard about the advent of the potentially revolutionary Capsule Networks. I will show you how you can start using them today.
18. What is Image Annotation? – An Intro to 5 Image Annotation Services
Image annotation is one of the most important tasks in computer vision. With numerous applications, computer vision essentially strives to give a machine eyes – the ability to see and interpret the world. At times, machine learning projects seem to unlock futuristic technology we never thought possible. AI-powered applications like augmented reality, automatic speech recognition, and neural machine translation have the potential to change lives and businesses around the world. Likewise, the technologies that computer vision can give us (autonomous vehicles, facial recognition, unmanned drones) are extraordinary.
19. Rational Agents for Artificial Intelligence
There are multiple approaches that you might take to create Artificial Intelligence, based on what we hope to achieve with it and how will we measure its success. It ranges from extremely rare and complex systems, like self driving cars and robotics, to something that is a part of our daily lives, like face recognition, machine translation and email classification.
20. How AI Bots Code: Comparing Bing, Claude+, Co-Pilot, GPT-4 and Bard
In this article, we will compare four of the most advanced AI bots: GPT-4, Bing, Claude+, Bard, and GitHub Co-Pilot, by asking them to solve coding challenges.
21. What are the Best Free AI Art Generators of 2023?
Generative AI has made groundbreaking strides in the past few months, and Generative AI models have risen in general popularity.
22. Begin your Deep Learning project for free (free GPU processing , free storage , free easy upload…
In this story i would go through how to begin a working on deep learning without the need to have a powerful computer with the best gpu , and without the need of having to rent a virtual machine , I would go through how to have a free processing on a GPU , and connect it to a free storage , how to directly add files to your online storage without the need to download then upload , and how to unzip file for free online .
23. The Digital Duumvirate: Exploring a Potential Synergy Between Blockchain Technology and AI
The cryptocurrency market faces uncertainties, but attention is shifting to the potential of Web3, Blockchain, and Tokenization.
24. I Compiled a List of Tech’s “Next Big Things” So You Wouldn’t Have to
2030 will be weird
25. Implementation of Mobile Robots for an Autonomous Scalable Smart Factory
Autonomous mobile robots for assembly factories as a databus for computers. Creating advanced eco-system using modular architecture and AI-driven factory OS
26. How ChatGPT-5 Will Change the World
ChatGPT-5 and AGI is on the way and it is bound to change the world as we know it.
27. Top 10 AI Tools to Check Out If You're Bored With ChatGPT
The article showcases the top 10 AI tools that can transform the way you work and live by automating tasks and improving productivity.
28. AI Doesn’t Mean the End of Work for Us
I believe that AI’s impact and future pathways are overstated because human nature is ignored in such statements.
29. Intro to Audio Analysis: Recognizing Sounds Using Machine Learning
30. Top 20 Image Datasets for Machine Learning and Computer Vision
Computer vision enables computers to understand the content of images and videos. The goal in computer vision is to automate tasks that the human visual system can do.
31. An Anti-Facial Recognition Mask: Fighting for Privacy
I have always been a pretty private person, but lately, the weight of it feels as unbearable as ever.
32. Developing AI Security Systems With Edge Biometrics
Let’s speak about usage of edge AI devices for office entrance security system development with the help of face and voice recognition.
33. A Simple Guide on AI Text Prompts: Tell the AI Exactly What You Want to See
This guide will cover the basics of working with AI text prompts and how you can effectively utilize them to render the images you envisioned.
34. OCR Fine-Tuning: From Raw Data to Custom Paddle OCR Model
Learn to fine-tune PaddleOCR for custom text recognition: from environment setup and data prep to training and deploying your tailored OCR model
35. How to Authenticate a User via Face Recognition in Your Web Application
Facial recognition-based authentication to verify a user in a web application is discussed in a beginner-friendly manner using FaceIO APIs.
36. ChatGPT Became the Face of AI—But the Real Battle Is Building Ecosystems, Not Single Models
ChatGPT made AI mainstream, but real transformation comes from ecosystems that embed AI across business, not from relying on a single model.
37. f5 Reasons AI Won’t Replace Humans… It Will Make Us Superhuman
Will AI replace humans and create an inevitable worldwide unemployment crisis?
38. From Tasks to Thinking Systems: Why Automation Starts in the Mind, Not the Machine
A reflection on why true automation starts with human thinking, not technology. Systems only work as clearly as the minds that design them.
39. How to Use an Uncensored AI Model and Train It With Your Data
Learn how to run Mixtral locally and have your own AI-powered terminal, remove its censorship, and train it with the data you want.
40. How to Structure Your Machine Learning Team for Success
This article discusses alternative ML team organizational models and recommendations for matching team structures to the company's stage of development.
41. How AI is Disrupting The Way Educators Teach
Educators are beginning to incorporate AI into the classroom at nearly every grade level making the learning experience more personalized and efficient.
42. These 6 AI Tools Will 10x Your Productivity
While non-AI tools can also be useful, these specific tools have significantly improved my efficiency and performance.
43. THE BEST Photo to 3D AI Model !
As if taking a picture wasn’t a challenging enough technological prowess, we are now doing the opposite: modeling the world from pictures. I’ve covered amazing AI-based models that could take images and turn them into high-quality scenes. A challenging task that consists of taking a few images in the 2-dimensional picture world to create how the object or person would look in the real world.
44. How to Build an End-to-End ML Platform
In this paper, readers will find an overview roadmap to generating a strong ML system that starts from data management to streamline operations efficiently.
45. How to Use ChatGPT for Python Programming
ChatGPT is a large language model developed by OpneAI. Here are some ways you can use ChatGPT for Python programming.
46. How To Build Chatbot Project Using Python
Chatbots are extremely helpful for business organizations and also the customers. The majority of people prefer to talk directly from a chatbox instead of calling service centers. Facebook released data that proved the value of bots. More than 2 billion messages are sent between people and companies monthly. The HubSpot research tells that 71% of the people want to get customer support from messaging apps. It is a quick way to get their problems solved so chatbots have a bright future in organizations.
47. 🎁 Releasing “Supervisely Person” dataset for teaching machines to segment humans
Hello, Machine Learning community!
48. SingularityNET: Learn About The World’s First Public AI Network On The Blockchain
What to know about SingularityNET (AGI)?
49. The 35 Best AI Newsletters on Beehiiv
Generative artificial intelligence (AI) is moving at warp speed. Keep up with the latest trends and developments by subscribing to several AI newsletters!
50. How Does DALL·E mini Work?
Dalle mini is amazing — and YOU can use it!
51. The Role of Artificial Intelligence in Education: Transforming Learning Experiences
AI in education transforms learning experiences for all stakeholders and reshapes conventional educational paradigms.
52. 174 AI Tools To Try
An overview of 174 AI Tools, a very long overview. Most are free or have a free trial period, some you have to pay for immediately. I’ve broken it down into 8 c
53. Top 15 Chatbot Datasets for NLP Projects
An effective chatbot requires a massive amount of training data in order to quickly solve user inquiries without human intervention. However, the primary bottleneck in chatbot development is obtaining realistic, task-oriented dialog data to train these machine learning-based systems.
54. 3 Things to Consider Before Adding GenAI to Your Business
Secure the future of Your Business with GenAI. Consider 3 factors needed for successful deployment of GenAI in your business.
55. Upscaling a Blurry Text Image with Machine Learning
Unreadable text can spoil an image, and that has paved the way for the image enhancer function. Read this post to learn what this function can do.
56. How to Earn $25-45/Hour By Helping to Train AI Models
Scale AI needs your help training AI models.
57. 14 Open Datasets for Text Classification in Machine Learning
Text classification datasets are used to categorize natural language texts according to content. For example, think classifying news articles by topic, or classifying book reviews based on a positive or negative response. Text classification is also helpful for language detection, organizing customer feedback, and fraud detection. Though time consuming when done manually, this process can be automated with machine learning models. The result saves companies time while also providing valuable data insights.
58. 6 Biggest Limitations of Artificial Intelligence Technology
While the release of GPT-3 marks a significant milestone in the development of AI, the path forward is still obscure. There are still certain limitations to the technology today. Here are six of the major limitations facing data scientists today.
59. The Complete Guide to Mega Productivity With Perplexity Comet (100 Shortcuts + 40 Prompts)
Perplexity’s Comet browser changed how I work—AI-powered, distraction-free, and built for productivity, not ad clicks.
60. 10 Biggest Image Datasets for Computer Vision
Data is very important in building computer vision models and these are the 10 Biggest Datasets for Computer Vision.
61. Lean AI Can Revolutionize Venture Capital Investment
Lean AI can revolutionize venture capital investment by identifying successful startups and helping founders avoid challenges with economic uncertainty.
62. Why I Left Red Hat
Everybody remembers their first time.
63. The Hidden Cost of AI: Why It’s Making Workers Smarter, but Organisations Dumber
AI boosts individual performance but weakens organisational thinking. Why smarter workers and faster tools can leave companies less intelligent than before.
64. Prompt Engineering 101 - I: Unveiling Principles & Techniques of Effective Prompt Crafting
Learn how to effectively communicate with machines with this 101 post series on Prompt Engineering.
65. This AI Creates Realistic Animated Looping Videos from Static Images
This model takes a picture, understands which particles are supposed to be moving, and realistically animates them in an infinite loop!
66. Welcome to the Museum of AI Hallucinations
Explore how AI hallucinations, often seen as flaws, can fuel human creativity. Discover DALL-E 3s power to imagine the surreal and inspire artistic breakthrough
67. How OpenAI Transitioned from a Nonprofit to a $29B For-Profit Company
Once upon a time, in a galaxy far, far away…just kidding, it was in Silicon Valley, OpenAI was founded as a nonprofit research lab with a mission to save the
68. Top 12 Twitter Feeds to Learn About AI
For those interested in AI, make sure these twelve AI Twitter accounts are on your daily feed.
69. How ChatGPT Handles Linux Bash Scripting
Using ChatGPT to help write a bash script to download YouTube videos
70. I Traded My Sketchpad for a Prompt Box—And Art Will Never Be the Same
AI art, neural networks & creative disruption—explore how a simple apple exposes the edge between human intuition and machine intelligence.
71. Closing the Feedback Loop: Building AI That Learns from Its Users
Learn to build effective feedback loops for AI products, connecting real user signals to model metrics for continuous improvement and better performance.
72. Unlocking Structured JSON Data with LangChain and GPT: A Step-by-Step Tutorial
Manipulating Structured Data (from PDFs) with the Model behind ChatGPT, LangChain, and Python for Powerful AI-driven Applications.
73. AI Brawl: the Generative Model Showdown
Four engines, one prompt, slightly suspiciously honest commentary.
74. Searching for The Soul of Art in the Age of AI - An Artist and AI Expert's Perspective
Exploring Emotion, Identity, and Creativity Through a Human-AI Art Experiment with DALL·E 3
75. Why is DevOps for Machine Learning so Different?
The term ‘MLOps’ is appearing more and more. Many from a traditional DevOps background might wonder why this isn’t just called ‘DevOps’. In this article we’ll explain why MLOps is so different from mainstream DevOps and see why it poses new challenges for the industry.
76. 11 Business Ideas That Could Become a Reality With ChatGPT
Founder of Makerpad, Ben Tossell, goes over potential business ideas that could come true with ChatGPT.
77. 22 AI Tools You Should Know About
List of top trending AI tools
78. The SaaS Apocalypse and How AI Will Give Birth to One-person Tech Giants
Is the SaaS industry on the brink of collapse? Explore how AI is reshaping software creation and pricing.
79. DreamFusion: An AI that Generates 3D Models from Text
Here’s DreamFusion, a new Google Research model that can understand a sentence enough to generate a 3D model of it.
80. How to Convert Speech to Text in Python
Speech Recognition is the ability of a machine or program to identify words and phrases in spoken language and convert them to textual information.
81. Gptrim: Reduce Your GPT Prompt Size by 50% For Free!
Introducing gptrim, a free web app that will reduce the size of your prompts by 40%-60% while preserving most of the original information for GPT to process.
82. Omnity Network Launches Omnity AI
Omnity AI: Revolutionize token distribution on social media with AI-driven multichain Grants, launching on X. Expand Web3 communities securely and efficiently.
83. OrcaMind.ai: Time for AI to Get Hands-On
OrcaMind.ai is an AI-powered thinking, on-chain intelligent whale — AI-powered and built to navigate the deep waters of Web3.
84. Mastering Few-Shot Learning with SetFit for Text Classification
This article deals with a technique called "SetFit" that requires minimum data to train a ML model that outperforms the GPT-3 model performance significantly.
85. I tried ChatGPT from OpenAI and my mind was blown
I wasn’t around when the internet was discovered for the first time but I could only imagine this must be what it’s like to do so.
86. NLP Tutorial: Creating Question Answering System using BERT + SQuAD on Colab TPU
87. ChatGPT: The New Platform for AI Marketing
Learn how ChatGPT can work alongside your marketing team to harness the power of AI to achieve unprecedented growth and success.
88. How to Build a $300 AI Computer for the GPU-Poor
$300 computer to run generative AI models locally, e.g. large language model inference and stable diffusion image generation.
89. Startups That Help Construction Companies
Let's take a look at a few construction startups that simplify the work of construction companies through artificial intelligence, robotics, and automation.
90. Undetectable AI: Bypass AI Content Detection
Undetectable AI bypasses AI content detectors by turning ChatGPT generated text into 100% human written quality text
91. Harnessing the Power of ChatGPT for OSINT: A Practical Guide to Your AI OSINT Assistant
If you're like most security practitioners, you're always on the lookout for new tools and techniques to help you gather intelligence. ChatGPT is one of those n
92. 10 Best Stock Market Datasets for Machine Learning
For those looking to build predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning.
93. Lumoz Flips the Switch On Its AI-Powered Blockchain
On February 13, Lumoz announced the official launch of Lumoz Chain and released the migration guide and reward plan for Verifier nodes.
94. How Will AI Change Agile Project Management?
AI's impact on Agile Project Management and Scrum Mastery will go from “interesting” to “total game-changer” faster than you think.
95. When Every Dash Is AI: Why Good Writing Now Feels Illegal
You’re not a suspect for writing too well — you’re just a human who still knows how to use language.
96. My Experience using GitHub Copilot for SQL Development
In this article, I will share my experience using GitHub Copilot for SQL and explore how it impacted my coding efficiency.
97. 6 Work from Home Positions in AI Data Collection and Data Annotation
For digital nomads, college students, stay-at-home parents or anyone looking for remote work positions, this article introduces online/remote work positions that are available today in the fields of AI Data Collection and Data Annotation.
98. Build Your Own RAG App: A Step-by-Step Guide to Setup LLM locally using Ollama, Python, and ChromaDB
In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike.
99. Instagram Is Dead: Here's Why
Santiago explains why Instagram is dead.
100. NVIDIA's Perfusion AI Model Takes Text-to-Image Generation to the Next Level
NVIDIA's new AI model, Perfusion, advances text-to-image generation with enhanced control and fidelity for concept-based visuals.
101. GPT-4 Has Been Unleashed on the World - Here's What It's Doing So Far
Alex documents how people are using GPT-4.
102. Why Natural Language Coding Isn’t for Everyone—Yet
Beginners face a choice: acquire foundational knowledge or await further simplification.
103. The Cheapskate’s Guide to Fine-Tuning LLaMA-2 and Running It on Your Laptop
Everyone is GPU-poor these days So my mission is to fine-tune a LLaMA-2 model with only one GPU and run on my laptop
104. An Interview With Ilya Sutskever, Co-Founder of OpenAI
OpenAI cofounder and chief scientist Ilya Stuskever talks about ChatGPT and the promise of models like GPT-4
105. AI is Neither the Magical Replacement for Human Analysts Nor a Useless Gimmick
AI is being used to help analysts with routine tasks. But it can also be a real contender on the analytics team.
106. A list of artificial intelligence tools you can use today — for businesses (2/3)
107. Prompt Engineering 101 - II: Mastering Prompt Crafting with Advanced Techniques
Learn how to effectively communicate with machines with this 101 post series on Prompt Engineering
108. How to Optimize Your LinkedIn Profile with ChatGPT
Linkedin boasts 930 million users. Stand out and attract more opportunities with a ChatGPT-optimized LinkedIn profile.
109. A Deep Dive Into How Many GPUs It Takes to Run ChatGPT
Tom Goldstein goes over how many GPUs it will take to run ChatGPT.
110. Difference between Artificial Intelligence, Machine learning, and deep learning
The development in the field of technology has enhanced over the years. With time, we get terms like Artificial Intelligence, machine learning, and deep learning in technology. We often confuse in these terms and define them similarly. But it is not a precise definition as these terms are different from each other. If you do not want to make this mistake again, then you must read out this article. Here we are going to discuss the difference in these three terms AI, ML, and Deep learning.
111. Top Resources for Learning About AI in Finance
Curated list of top resources to learn about AI in finance.
112. Writing a Web Scraper With ChatGPT. How Good is It?
Is AI capable of writing web scrapers or at least help write some? Is it capable of finding the right selectors by itself? We find out..
113. The Challenges, Costs, and Considerations of Building or Fine-Tuning an LLM
The road to building or fine-tuning an LLM for your company can be a complex one. Your team needs a guide to start.
114. Machine Learning Costs: Price Factors and Real-World Estimates
In this blog post, we will focus on one of our AI subsets, machine learning, and estimate how much it costs to train, deploy, and maintain algorithms.
115. What AI Means for the Future of Leadership
Leaders should adapt to AI's evolving role. Combining human intuition and AI can enhance decision-making. AI is a tool, not a replacement for humans.
116. Claude Desktop + MCP Quietly Transformed my Product Thinking
Discover how Claude Desktop with MCP tools eliminated digital fragmentation, enabling deeper product thinking and transforming weeks of work into hours.
117. Deep Learning & Artificial Neural Networks: Solving The Black Box Mystery
I often hear people talking about neural networks as something as a black-box that you don’t understand what it does or what they mean. Actually many people can’t understand what they mean by that. If you understand how back-propagation works, then how is it a black-box?
118. The AI Energy Crisis & A Newfound Push for Efficiency
While Microsoft and Google spend billions, startups craft new, nimble, environmentally-friendly AI models.
119. Elon Musk to ChatGPT: Please Stop
Elon Musk has called for an immediate pause of at least 6 months in the training of AI systems more powerful than GPT-4.
120. Introducing AutoGPT – The Newest AI Agent Under the Spotlight
AutoGPT is the latest AI agent generated by GPT-4, offering efficient capabilities for custom marketing, lead generation, and prompt creation.
121. 6 Best NotebookLM Alternatives in 2025: AI-Powered Research & Note-Taking Tools Compared
Discover the best NotebookLM alternatives in 2025. Compare 6 AI-powered research and note-taking tools to boost productivity, learning, and workflow.
122. Document-Term Matrix in NLP: Count and TF-IDF Scores Explained
In NLP, Document-Term Matrix (DTM) is a matrix representation of the text corpus. The TF-IDF score is widely used to populate the DTM.
123. Importance of Mentoring in Digital Tech
Learn about my experience with mentees from around the world and the mutual benefits of mentoring in fields like AI, Crypto, FinTech, and EdTech.
124. Why I Dropped Out of College in 2020 to Design My Own ML and AI Degree
Most people would think I was crazy for starting 2020 as a college dropout (sorry mom!), but I wish I made this decision sooner.
125. AI Predictions for 2022 and Beyond
However, as time has proven over and over again, humankind is unable to duplicate the same kind of AI that we see in the movies..yet.
126. 99.9% of Content Will Be AI-Generated by 2025: Does Anyone Care?
Soon AI bots will create 99.9% of all content on the internet. This creates serious problems for free thinking and creativity. Can we solve these problems?
127. OpenxAI Launches on Base to Let Anyone Start an AI Business in Minutes, Without Middleman
OpenxAI, the world’s first permissionless, peer-to-peer AI network, today announced its launch on Base
128. All You Need to Know About the Tesla Dojo Supercomputer
All about the Dojo Supercomputer, what it is, why it was created, how it works and what it will be used for
129. Using ChatGPT to Code an Entire Portfolio Website
Using ChatGPT to create a custom portfolio website in record time! I discuss ChatGPT's strengths, weaknesses, and tip and tricks to use while coding.
130. How To Process Engineering Drawings With AI
Learn why ready-made AI tools are not well-suited for engineering drawings processing and how to actually use AI to extract data from technical drawings.
131. 30 App Development Ideas for Startups (AI/ML, Blockchain, AR/VR)
As an IT sourcing analyst with ValueCoders a leading offshore IT outsourcing firm, I have helped several startups, SMEs, and enterprises build their mobile apps.
132. Machine Un-Learning: Why Forgetting Might Be the Key to AI
Let’s face it — forgetting things sucks. It’s frustrating not to remember where you left your keys or to stumble over your words because you can’t recall the name of that colleague you just ran into at the grocery store. However, forgetfulness is core to the human condition, and in fact, we’re lucky that we’re able to do so.
133. How to Implement Face Recognition in Vue.JS with FaceIO
Learn to add face recognition authentication to your web application
134. What are Latent Diffusion Models? The Architecture Behind Stable Diffusion
What do all recent super powerful image models like DALLE, Imagen, or Midjourney have in common? Other than their high computing costs, huge training time, and shared hype, they are all based on the same mechanism: diffusion.
135. 10 Reasons Why you Should Learn Artificial Intelligence
Introduction
136. The Problem(s) With Amazon GO
137. How To Customize an OpenAI Chatbot With Embedding
Learn how to leverage embeddings to have an OpenAI chatbot, built with React and Node.js, respond correctly to specific contextual prompts.
138. If Your Products Aren’t AI-Searchable, You’re Already Losing
Future-proof your e-commerce store for ChatGPT’s new shopping features, by prioritizing tools like Reviews.Shop (for off-page) and Schema.org (for on-page).
139. Six Real-World Applications of AI in Retail
As the world is moving towards a digital age, traditional retailers face existential threats from the likes of Amazon and Walmart. To level the playing field, offline retailers are also turning to artificial intelligence as shoppers take a multichannel approach to making purchases. From helping customers find the items through visual search to personalizing their entertainment experience through chatbots, AI is revolutionizing the retail industry in a number of ways. Major retailers like Starbucks and Lowe’s use AI to improve customer experience.
140. How to Keep Your Machine Learning Models Up-to-Date
Performant machine learning models require high-quality data. And training your machine learning model is not a single, finite stage in your process. Even after you deploy it in a production environment, it’s likely you will need a steady stream of new training data to ensure your model’s predictive accuracy over time.
141. 9 Reasons Why You Should Keep Learning Machine Learning
Machine Learning is an application of Artificial Intelligence. It allows software applications to become accurate in predicting outcomes. Machine Learning focuses on the development of computer programs, and the primary aim is to allow computers to learn automatically without human intervention.
142. Robotic Vision: Connecting Asus Xtion Live Depth Camera to Raspberry Pi
An important part of the robot is its eyes and perception of the outside world. For this purpose, the Depth Camera is well suited.
143. Best AI Visibility Tools for 2025
An exhaustive guide to AI visibility tools written by someone who has tried all of them.
144. 18 AI Marketing Softwares Your B2B Needs to Try Today
Looking for opportunities to apply marketing AI to your B2B or SME? In this article, we cover 7 marketing categories and 20+ tools to do the heavy lifting 🦾📈
145. An Honest Review of Google's Intro to Generative AI Courses
Google released a list of free Intro to Generative AI courses. This article provides a review of the learning path, including cheat sheets and summaries.
146. Vibe Coding - A New System of the World
Is the rise of vibe coding also the end of software engineering? How will vibeware change the nature of the software entrepreneur, and the meaning of work?
147. Absolute Fundamentals of Machine Learning
Machine learning, what a buzzword. I’m sure you all want to understand machine learning, and that’s what I’m going to teach in this article.
148. Karate Club a Python library for graph representation learning
Karate Club is an unsupervised machine learning extension library for the NetworkX Python package. See the documentation here.
149. What You Need to Know About AI Prompts
That’s the beauty of AI prompts: they can understand context and generate human responses that are sometimes too good to be true.
150. The Best 7 Coding Tools Powered by AI
7 most innovative AI (and especially ChatGPT) powered low-code code tools.
151. Vibe Coding is Creating a Generation of Unemployable Developers
Vibe coding lets AI generate code—but skips the skills that make developers indispensable. Learn why shortcuts can ruin careers in 2025 tech.
152. 13 Premium AI Gifts Tech Lovers Might Not Have Considered
Do you want to make your loved one's life ultramodern? So, here are AI gift ideas some sort of high-tech equivalent in everyday life.
153. AI GTM Strategy: Why AEO Is Replacing Traditional Search
AI GTM strategy is shifting from SEO to AEO. Learn how creator-led trust and AI visibility drive growth in the era of answer engines.
154. 20 Best Machine Learning Resources for Data Scientists
Whether you’re a beginner looking for introductory articles or an intermediate looking for datasets or papers about new AI models, this list of machine learning resources has something for everyone interested in or working in data science. In this article, we will introduce guides, papers, tools and datasets for both computer vision and natural language processing.
155. Creative AI ‘Shakes’ the Core of Humanity and Requires a Broader Discussion About Ethics
The boundary between machine and humans was clear. But now the machine has become creative! Can self expression still be at the core of our humanity?
156. This AI Removes Unwanted Objects From Your Images!
Learn how this algorithm can understand images and automatically remove the undesired object or person and save your future Instagram post!
157. The Best (and Worst) Punny Jokes Only Data Scientists Will Understand
For the first KDnuggets post on Hacker Noon, we bring you a lighter fare of very nerdy computer humor from the series of self-referential jokes started on Twitter earlier this week. Here are some of our favorites.
If you do understand all of the jokes, then you congratulate yourself on having excellent knowledge of Data Science and Machine Learning! If you have actually laughed at 2 or more jokes, then you have earned MS in Computer Humor! If you just smirked, you probably have a Ph.D. And I have a great joke about AGI, but it will be ready in 10 years.
Enjoy, and if you have more, add them in comments below!
Yann LeCun, @ylecun
158. AI in Five, Fifty and Five Hundred Years — Part Two — Fifty Years
Check out part one of this series for what the next five to fifteen years looks like in AI. In part two we get super sci-fi and see if our crystal ball can reach 50 years into the future.
159. AI Is Changing How Developers Learn: Here’s What That Means
AI-powered learning for software developers is here to stay. Here's how we're building the learning platform of the future at Educative.
160. Build an Abstractive Text Summarizer in 94 Lines of Tensorflow !! (Tutorial 6)
This tutorial is the sixth one from a series of tutorials that would help you build an abstractive text summarizer using tensorflow , today we would build an abstractive text summarizer in tensorflow in an optimized way .
161. Solving Car Damage Detection Task By Using a Two-Model Computer Vision Solution
Comparison of Mask R-CNN and U-Net — instance and semantic segmentation algorithms and logic behind building a two-model car damage detection ML solution.
162. A Tool to Help Fix SQL Code Using ChatGPT
With ChatGPT's help, you can now make the most out of your SQL queries.
163. Utilizing External Tables to Store and Query Data on MinIO with SQL Server 2022
With Microsoft SQL Server 2022, object storage becomes a first class citizen through a technique called external tables.
164. Stop Prompting, Start Engineering: 15 Principles to Deliver Your AI Agent to Production
Build production-ready LLM agents. Learn 15 principles for stability, control, and real-world reliability beyond fragile scripts and hacks.
165. Dopple.ai Overtakes Mainstream Competitors With Unfiltered, Unbiased AI Chatbots
Dopple.ai is a free AI chatbot that lets you interact with virtual characters based on real and fictional people.
166. Reinforcement Learning: 10 Real Reward & Punishment Applications
In Reinforcement Learning (RL), agents are trained on a reward and punishment mechanism. The agent is rewarded for correct moves and punished for the wrong ones. In doing so, the agent tries to minimize wrong moves and maximize the right ones.
167. ChatGPT - Debugging is the new Coding!
Much has been said about ChatGPTs ability to code but in my experience, ChatGPT is only as good a coder as the programmer guiding it to write the code.
168. Part 1:Building Your First Video Pipeline: FFmpeg & MediaMTX Basics
Build a real-time video streaming pipeline with FFmpeg and MediaMTX. Learn to stream webcams to browsers using WebRTC with step-by-step tutorials.
169. 7 Game-Changing AI Tools in 2023
Discover 7 AI tools that will save you so many hours.
170. AI Agents Are Growing Up - And They Need Zero-Trust Parenting
AI is evolving fast, but security isn’t keeping up. Discover why zero-trust architecture is critical for safe, scalable AI agent deployment.
171. The Future of Education and AI: Beyond Traditional Degrees with Marc Andreessen & Ben Horowitz
Explore the evolving landscape of education and AI with Marc Andreessen and Ben Horowitz. Discover why GenZ may find success beyond traditional college degrees.
172. Deploying Deep Learning Models with Model Server
Learn how to deploy deep learning models with Model Server.
173. Can AI Audit Smart Contracts Better than Human Auditors?
AI-based audits are not yet perfect, but they may be the next step in smart contract auditing.
174. ChatGPT: A Guide on How to Use It, Its New Features, and More
read this post carefully to learn how ChatGPT will help you improve and expand your knowledge rather than take your job!
175. Creating a Domain Expert LLM: A Guide to Fine-Tuning
In this article, we fine-tune a large language model to understand the plot of a Handel opera.
176. What Is a Diffusion LLM and Why Does It Matter?
What is diffusion large language model LLM, and why it matters. In the context of Inception Labs releasing Mercury Coder.
177. 11 Torchvision Datasets for Computer Vision You Need to Know
With torchvision datasets, developers can train and test their machine learning models on a range of tasks, such as image classification and object detection.
178. 10 Best Hugging Face Datasets for Building NLP Models
Hugging Face offers solutions and tools for developers and researchers. This article looks at the Best Hugging Face Datasets for Building NLP Models.
179. Grokipedia: The Coming War with Wikipedia for the World's Knowledge
Discover Grokipedia; Elon Musk's bold challenge to Wikipedia. Explore how this open-source knowledge repository could reshape the future of information and AI.
180. How AI Automates Data Scraping and Data Analysis
There are numerous ways that AI can help us in data scraping and data analysis. Check out these tools and methods!
181. This AI Creates Videos From a Couple of Images
Researchers created a simple collection of photos and transformed them into a 3-dimensional model.
182. How Search Engines Actually Answer Your Questions
Modern search Q&A explained: how knowledge graphs, DeepQA, and MRC turn messy web pages into direct, trustworthy answers.
183. Cursor AI: Your 2024 Installation & Review Guide
Cursor AI is a new code editor that uses artificial intelligence to make coding easier for developers. It is based on Visual Studio Code.
184. GitHub Copilot Review: Does it Really Give a 55% Speed Boost to Development?
This article presents a GitHub Copilot review and assesses its impact on enhancing development speed in real-life scenarios.
185. OpenAI GPT: How to Create a YouTube Summary
How to create a YouTube summary using Python and the OpenAI GPT model.
186. 10 AI and ML Apps, Games, and Tools for Android Phones
If you’re looking for basic knowledge about AI concepts, AI tutorials, or want to check out some interesting AI-powered games and tools, we’ve compiled a list of the best free Android apps for AI and machine learning. We’ve divided the list into the following four categories: chatbots, educational, games, and tools & services. From NLP to object recognition, numerous apps on this list apply a variety of machine learning processes.
187. The 5 Leading AI Coding Tools That Engineering Teams Need to Try
Discover 5 top AI coding tools revolutionising software engineering. Enhance team efficiency, accelerate development, and stay competitive.
188. Useful Applications of Generative AI
As generative AI tools like ChatGPT grow in popularity, the applications appear to be endless. Here are some of the most useful applications of generative AI.
189. Stop Using ChatGPT: Google Bard is Better
In ChatGPT, you would have to write a prompt for variations of one content but in Bard you can get 3 different drafts in one place ready to use.
190. FLUX Local & Cloud Tutorial With SwarmUI - FLUX: Open Source txt2img Model Surpassing Midjourney
FLUX represents a groundbreaking achievement in open source txt2img technology, genuinely outperforming and producing superior quality images.
191. Lightbug 🔥🐝- The First Mojo HTTP Framework
Intro to Lightbug 🔥🐝, a lightweight HTTP framework in pure Mojo that allows to build web services with simplicity of Python and performance of C++
192. Getting My ChatGPT Plus Subscription Is an Inflection Point
Seeing ChatGPT in action has felt to me like the first time I saw a web browser, or I realized I could surf the Internet from the tiny screen of my Palm Treo.
193. Unlocking the Secrets of ChatGPT: Tips and Tricks for Optimizing Your AI Prompts
As one of the most advanced AI models, ChatGPT offers the potential to transform the way we approach tasks in both professional and personal settings.
194. The Future of Gaming with New AI-Powered Anti-Cheats
The future of gaming will use an AI-powered system that can study game plays, accuracy, and judge the ratio of time spent online with user proficiency
195. The 5 Podcasts to Check If You Want to Get Up To Speed on AI
From AI researchers to industry experts, tune in to these podcasts and explore the latest developments in the fascinating world of artificial intelligence.
196. ChatGPT: Your Time-Saving Companion for UML Diagram Generation
Use ChatGPT to effortlessly generate PlantUML code, saving time and enhancing the creation UML diagrams process
197. Ditching Google: the 3 Search Engines That Use AI to Give Results That are Meaningful
If you’re the type that wants straight answers to every query without going through several blog posts, then you should consider AI-chat search engines.
198. Computer Vision Is Solving Problems That Weren't Even On Our List
Replicating human interaction and behavior is what artificial intelligence has always been about. In recent times, the peak of technology has well and truly surpassed what was initially thought possible, with countless examples of the prolific nature of AI and other technologies solving problems around the world.
199. Fine-Tuning GPT-3.5: A Practical Python Example
Hands-on example to achieve shorter prompts, better performance and save money on your API calls. All using synthetic data from GPT-4.
200. Nufa Wants To Transform Your Body, Not Just Your Face, With Its AI Image App
Going beyond AI avatars and generative art, Nufa is an AI-powered body image app that helps you view your body the way it can be with proper diet and exercise.
201. So you think you know what is Artificial Intelligence?
When you think of Artificial Intelligence, the first thing that comes to mind is either Robots or Machines with Brains or Matrix or Terminator or Ex Machina or any of the other amazing concepts having machines that can think. This is an appropriate but vague understanding of Artificial Intelligence. In this article we’ll see what A.I. really is and how the definition has changed in the past.
202. How Emerging Technologies Impact Businesses
203. The World's Most Powerful Deepfake Model was Just Released by Google
This AI can reconstruct, enhance and edit your images!
204. ChatGPT-5 Might Achieve AGI and Here's What That Could Look Like
ChatGPT-5 combined with AGI and even video will truly change the way our schools, workplaces and lives in general operate.
205. Introducing a Flagship MCP Sample App Powered by Azure AI Foundry And LlamaIndex.TS
Coordinate multiple AI agents and MCP servers (written in Java, .NET, Python and TypeScript) with LlamaIndex.TS and Azure AI Foundry.
206. OpenAI Releases ChatGPT on Steroids, Heating Up AI Wars 🖥️
Bigger. Better. Beefier. That's probably the best way to categorize the latest (and greatest!) version of ChatGPT: GPT-4.
207. OpenAI's New Model is Amazing! DALL·E 2 Explained Simply
Last year I shared DALL·E, an amazing model by OpenAI capable of generating images from a text input with incredible results. Now is time for his big brother, DALL·E 2. And you won’t believe the progress in a single year! DALL·E 2 is not only better at generating photorealistic images from text. The results are four times the resolution!
208. The New Tools Rewriting the Web
Publishing in 2025 isn’t just about writing, it’s about building a publishing system.
209. 9 Ways To Use ChatGPT For Content Creation
Content creators can use ChatGPT in 9 different ways to boost their productivity and efficiency. Learn more.
210. How to Make Any LLM More Accurate with Just a Few Lines of Code
A look at using the open-source Cleanlab package to automatically boost the accuracy of LLMs with a few lines of code.
211. Revolutionary Potential Superconductor LK-99: Could It Usher Us Into A New Era?
Explore the future with LK-99! Unravel its potential as a superconductor, shaping tech, energy, and transport. AI is increasing the acceleration, AGI is coming!
212. Why the $70 Million ai.com Domain Could Become the Front Door to AGI
ai.com launches autonomous AI agents for consumers, founded by Crypto.com CEO Kris Marszalek, with a Super Bowl LX ad premiere on February 8, 2026.
213. Positive Applications for Deepfake Technology
The video industry is in the midst of a technological revolution, as the exploration and application of artificial intelligence, machine learning, and deep learning radically expand the possibilities for business practices.
214. How to Build the Lowest Latency Voice Agent in Vapi: Achieving ~465ms End-to-end Latency
In this comprehensive guide, we'll show you how to build a voice agent in Vapi that achieves an impressive ~465ms end-to-end latency.
215. Level Up Your ChatGPT Skills by Unleashing The Full Potential of Your Prompts!!
Make your ChatGPT prompts 2X better!
216. Alan Turing Was Right—a Machine Could Think
The idea that machines could think occurred to the very first computer builders and programmers.
217. Machine Learning is the Wrong Way to Extract Data From Most Documents
The best way to turn the majority of documents into structured data is to use a next generation of powerful, flexible templates that find data in a document
218. The Claude Sonnet 3.5 System Prompt Leak: A Forensic Analysis
Claude 3.5 Sonnet artifacts are to structured output such as code generation, what vector retrieval is to rag. It is the search and retrieval system for structu
219. Why We Are Automating Food Waste Management With AI?
One-third of the total food produced is wasted according to the Food And Agriculture Association of the United Nations. It is approximately 1.3 billion tonnes and food scarcity is one of the major concerns globally. Isn’t it strange and funny?
220. Accelerating Neural Networks: The Power of Quantization
A hands-on guide to neural network quantization: theory, PyTorch implementation, and practical tips for optimizing models for edge devices
221. 5 Best Sentiment Analysis Companies and Tools for Machine Learning
Looking for sentiment analysis companies or sentiment annotation tools? If so, you’ve come to the right place. This guide will briefly explain what sentiment analysis is, and introduce companies that provide sentiment annotation tools and services.
222. Deepmind May Have Just Created the World's First General AI
Gato from DeepMind was just published! It is a single transformer that can play Atari games, caption images, chat with people, control a real robotic arm, and more! Indeed, it is trained once and uses the same weights to achieve all those tasks. And as per Deepmind, this is not only a transformer but also an agent. This is what happens when you mix Transformers with progress on multi-task reinforcement learning agents.
223. Turn GPT-4 Into Your Expert: Fine-Tuning Large Language Models Easily
Boost AI Performance with Fine-Tuning
224. Reinforcement Learning [Part 2]: The Q-learning Algorithm
Learning how to find the optimal q-value can produce significant improvements in a ML-algorithm's ability to learn both in terms of speed and quality.
225. Why AI Coding Agents Suck At Product Integrations And How Membrane Fixes This
AI coding agents excel at building features but fail at production integrations. The issue isn't AI capability—it's lack of integration-specific infrastructure.
226. AI Didn’t Kill Sales. It Made It Unrecognisable and Better
The arrival of truly intelligent, always-on, AI-native revenue engines is dismantling the way we’ve structured go-to-market motions for 20 years.
227. The Dangers of DeepFake Technology: Exploring the Potential Risks of AI-Generated Videos and Images
As much as there may be some positives to deepfake technology, the negatives easily overwhelm the positives in our growing society.
228. Meet Well3, the Multichain Framework Transforming Health Data Management
WELL3 is a pioneering force reshaping health and wellness through Decentralized Physical Infrastructure Network and integrated AI systems.
229. OpenAI's Whisper: Paving the Way for the Voice Interface Revolution
Advanced speech recognition systems like Whisper will forever change how we relate to computers and AI models. See the future in action with these new apps.
230. Beginner's Guide to Product Categorization in Machine Learning
Product categorization, sometimes referred to as product classification, is a field of study within natural language processing (NLP). It is also one of the biggest challenges for ecommerce companies. With the advancement of AI technology, researchers have been applying machine learning to product categorization problems.
231. AI vs. Machine Learning: Key Differences Explained
Eliminate your confusion between AI and ML, two different topics that are often confused for one another.
232. Will Programmers Really Be Replaced by AI?
What I mean is that these AI tools, although very useful, don't do magic. But they can be good assistants to programmers.
233. AI-Powered Healthcare: Bridging the Personnel Gap
The healthcare industry has been grappling with a severe shortage of personnel…
234. Stuck in Time: Why AI Can’t Stop Drawing Watches at 10:10
Why does AI always draw watches at 10:10? Explore the surprising link between human design, data bias, and AI creativity.
235. Digital Doppelgängers: When Your Best Customer Never Existed
By the end of 2024, synthetic identities accounted for 85-95% of all fraud losses in financial services.
236. We Should Talk About ChatGPT
ChatGPT isn't the only thing taking over your newsfeed. Check out this syndicate.
237. Indie Hacking Vibe Coding Setup: What Changed in 6 Months
It’s far more efficient to run multiple Claude instances simultaneously, spin up git worktrees, and tackle several tasks at once.
238. Manipulate Images Using Text Commands via this AI
Manipulate Real Images With Text - An AI For Creative Artists! StyleCLIP Explained
239. Proof of Usefulness Hackathon: Win $150K+ from Bright Data, Neo4j, Algolia, Storyblok & HackerNoon
Proof of Usefulness is a global hackathon powered by HackerNoon that rewards one thing and one thing only: usefulness. Win from $150k!
240. How to Detect Text Generated by Artificial Intelligence
There were several artificial intelligence plagiarism tools out there. Now, the popular ChatGPT model from open.ai released their own.
241. Text-to-Voice? No, It’s Something More: Text-to-Emotion.
How a new wave of AI voice models are turning text into emotionally rich, real-time performances. This is the future of voice: programmable and persuasive.
242. The $10 Billion Logic Error: What Happens When Security Moves Faster Than Sanity
This article investigates how the July 2024 CrowdStrike crash exposed the fragility of automated AI‑driven security systems and their global fallout.
243. 5 Real-Life Uses of Blockchain and AI That'll Make You a Web3 Believer
Think Web3 is just for crypto enthusiasts? These 5 blockchain and AI applications are already transforming industries. Shared by aelf, AI blockchain.
244. The AI Infrastructure Alliance and the Evolution of the Canonical Stack for Machine Learning
We've got a Cambrian explosion of new companies building a massive array of software to democratize AI for the rest of us. We created the AI Infrastructure All.
245. Why "Build an AI Agent" Is the Wrong Starting Point for AI Systems
Real production systems require architecture, determinism, integration, and human interaction. Prompting harder does not produce those properties.
246. In a World Obsessed With AI, The Miniswap Founders Are Betting on Taste
Miniswap, a Warhammer marketplace founded by Cambridge students, is betting on taste, curation, and community over AI automation. Learn how they raised $3.5M.
247. Claude Code Cracks Down on Power Users With New Weekly Limits
Anthropic's new weekly usage limits for Claude Code power users aim to curb excessive consumption, impacting all subscribers.
248. 9 Free AI Tools Everyone Needs to Try
Unlock the power of AI with these 9 free tools! Boost productivity, improve decision-making, & enhance your personal life.
249. Essential Guide to Transformer Models in Machine Learning
Transformer models have become the defacto standard for NLP tasks. As an example, I’m sure you’ve already seen the awesome GPT3 Transformer demos and articles detailing how much time and money it took to train.
250. How to Use ChatGPT to Sell Luxury Yachts: Real Use Cases
Real use cases of using ChatGPT in the real yachting business. Bossting sales & building sales guide using AI.
251. Is AI the End of Sustainability?
Kateryna Korotieieva explores how product managers can build sustainable, AI-powered products by focusing on resilience, ethics, and long-term value.
252. Exploring Machine Learning Techniques for LTV/CLV Prediction
Using ML to analyze and predict CLV offers more accurate, actionable insights by learning from behavioral data at scale.
253. Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference
Groq’s Deterministic Architecture is Rewriting the Physics of AI Inference. How Nvidia Learned to Stop Worrying and Acquired Groq
254. Best Speech to Text APIs to Build an AI Notetaker in 2026
This comprehensive guide evaluates the top 8 speech-to-text APIs in 2026.
255. 8 Best Human Behaviour Datasets for Machine Learning
Human behaviour describes how people interact and in this article, we will look at the 8 Best Human Behaviour Datasets for Machine Learning.
256. LiteLLM: Call Every LLM API Like It's OpenAI
LiteLLM — a package to simplify API calls across Azure, Anthropic, OpenAI, Cohere and Replicate.
257. How AI Has Impacted Product Management
In this article, I want to talk more about the broader influence of AI in product management tools, more than I’d like to go into chatbot-specific applications.
258. How to Build an AI-Search-Powered Personal Assistant App
A search-powered personal assistant is a digital assistant that uses search engine technology to help users with various tasks. Here's how to make one.
259. Why the Next Wave of AI Value Will Come from “Boring” Operations Work
According to Karl Pinto, AI’s most transformative contributions are arriving where there’s the least spotlight.
260. 7 Steps To Prepare A Dataset For An Image-Based AI Project
A guide for AI entrepreneurs on how to prepare a dataset for a machine learning project.
261. Explaining Prompt Engineering
Explaining the elements that make prompt engineering work and its importance.
262. LLMs Don't Understand Negation
LLMs (like GPT) are really bad at following negative instructions. The post includes a demonstration, practice takeaways (prompt engineering), and some thought
263. GPT-3 is Already Making Programmers' Lives Better and There's More to Come
GPT-3 was meant to understand and construct natural language. But as these tools prove, it's pretty good at programming languages, too.
264. How to Fine-tune and Optimize GPT Assistants with OpenAI
Discover how Weblab Technology fine-tunes GPT assistants with OpenAI for powerful natural language processing.
265. Train Your Own ChatGPT-like LLM with FlanT5 and Replicate
We train an open-source LLM to distinguish between William Shakespeare and Anton Chekhov.
266. Choosing the Right AI IDE for Your Team: Cursor vs. Windsurf vs. Copilot
Dive into a hands-on comparison of Cursor, Windsurf, and Copilot with GPT-5, highlighting their strengths in greenfield and brownfield projects.
267. Building an AI Trading Agent Using Anthropic’s MCP - Part II
Part II of the series: use MCP and Solana AgentKit to build an AI Agent that can trade USD and EUR stablecoins.
268. Elaborate Hoaxes in the Age of AI
We know there's a lot of unethical ways to use AI but at what point are we not even going to know AI was used?
269. I Blew €400 on Cursor — Here's What I Learned So You Don't Have To
Building software with Cursor is super fast, and you should definitely use it. However, there are some downsides.
270. SEO for AI — What Does SEO Mean Now That We’re All Using AIs?
Internet search is switching to AI's. Trying to manually keep track of what AI’s are saying about my brand got my head spinning, so I thought of a solution.
271. I Asked AI to Write Poems and Raps – Here Are the Results
I told AI to Write Poems and Raps – Here are The Results of Human-AI collaboration.
272. These 13 Hidden Open-Source Libraries Will Help You Become an AI Wizard 🧙♂️🪄
!3 best hidden open-source libraries to make you an AI wizard
273. Integrate Face Recognition in Your Web Application in 5 Minutes
In this blog, I will be introducing you to Faceio’s face recognition authentication and I will be building a simple app to showcase the way to integrate it.
274. How to Turn Mockups Into Videos Instantly with This New AI Model
GEN-1 is able to take a video and apply a completely different style onto it, just like that…
275. "Embeddings Aren't Human Readable" And Other Nonsense
The research and breakthroughs in embedding inversion attacks make it clear that embeddings are, in fact, reversible back into forms that are fully human readab
276. Get Rich Building Verticalized AI Wrappers (Even If You Don’t Code)
GenAI wrappers are printing millions. Learn from success stories, tackle objections, and find how to build your own AI-powered app—no coding skills required!
277. Knowledge Graphs Gain Traction as AI Pushes Beyond Traditional Data Models
Is graph really the new star schema? What do graphs like to non-insiders, and what attracts them to the community, methodologies, applications, and innovation?
278. The Impact of Generative AI on Enterprise Software Development
Enterprises will need to understand how they will use customer data and how it will get processed through AI models that are trained with the latest innovation.
279. AI is Eating Journalism, Education, and Creatives
Generative AI threatens journalism, education, and creativity by spreading misinformation, displacing jobs, and eroding quality.
280. Let's build a customer support chatbot using RAG and your company's documentation in OpenWebUI
We'll share our journey of creating a technical support chatbot designed to assist our front-line team by answering user questions.
281. This AI Can Separate Speech, Music and Sound Effects from Movie Soundtracks
Have you ever tuned in to a video or a TV show and the actors were completely inaudible, or the music was way too loud? Well, this problem, also called the cocktail party problem, may never happen again. Mitsubishi and Indiana University just published a new model as well as a new dataset tackling this task of identifying the right soundtrack. For example, if we take the same audio clip we just ran with the music way too loud, you can simply turn up or down the audio track you want to give more importance to the speech than the music.
282. Math GPT: Can AI Help Solve Unified Theory ?
What if we trained AI to complete equations instead of images of Cats?
283. Increase The Size of Your Datasets Through Data Augmentation
Access to training data is one of the largest blockers for many machine learning projects. Luckily, for various different projects, we can use data augmentation to increase the size of our training data many times over.
284. 10 Ways AI Has Changed Our Lives
The human race has come a long way in history. The recent technological advancements contribute to this progress, making lives easier for everyone. Robots, supercomputers and interactive applications are no longer science-fiction tropes. Data scientists and machine learning engineers are working on realistic machines with human-like intelligence. Artificial intelligence is an integral part of our everyday life. From our smartphones to the GPS navigation in our cars- life without AI seems impossible. Here are some ways that AI impacts our life;
285. Google A2A - a First Look at Another Agent-agent Protocol
Google A2A - a first look at another agent-agent protocol and compared to Anthropic’s MCP.
286. A Practical Guide to Machine Learning for Business
A practical guide to using machine learning in business, from defining problems and choosing models to deployment, monitoring, and delivering real value.
287. Famous Companies That Have Sunk Big Money in AI, Blockchain, and Web3
Nike and Tesla are embracing Web3 and blockchain. Find out how they leverage blockchain technology for enhanced innovation with Web3 & AI integration.
288. Understanding the Impact of OpenAI's GPT4 Turbo on "Wrappers"
In this article, I’ll dive into OpenAI's latest offerings and analyze what they could mean for the future of ChatGPT wrappers like my own startup, Olympia.
289. Immersive VR Conversations with AI Avatars: Integrating ChatGPT, Google STT, and AWS Polly
Learn how integrating ChatGPT, Google Speech-to-Text, and Amazon Web Services Polly in VR, can create realistic and interactive conversations with AI avatars.
290. Can ChatGPT Outperform the Market? Week 14
FBIO's key trial denied…
291. A Look Into 5 Use Cases for Vector Search from Major Tech Companies
A deep dive into 5 early adopters of vector search- Pinterest, Spotify, eBay, Airbnb and Doordash- who have integrated AI into their applications.
292. Gaming Worlds Should Evolve With You—Inside Astra Nova's Vision for AI-Powered Entertainment
Astra Nova CEO Faizy Ahmed says the key to using AI is as a co-pilot, not a replacement.
293. Steal This Idea and Make a Billion Dollars: AI Video Game Accelerator Cards
AI is on the rise. In some ways it was always inevitable. But ask any researcher who suffered through the 1990s in AI research and they might not agree. AI and neural networks in particular were considered a backwater for researchers for decades. If you wanted a dead end career go into neural nets. In the 1990s, one of the leading thinkers behind neural networks, Geoffrey Hinton, could barely get funding. Nobody came to his classes. He worked on his ideas in isolation.
294. CodeRabbit vs Code Reviews in Kilo: Which One Is Best For You in 2026
CodeRabbit alternative for 2026: Kilo's Code Reviews combines AI code review with coding agents, deploy tools, and 500+ models in one unified platform.
295. Why the Beauty and Fashion Industry is the Future of AR and Spatial Computing
AR and VR finally have their killer app: The beauty and fashion industry.
296. A MidJourney - Camera Lens Experiment: The Results
I experimented with 30 camera lenses so you don't have to. I put the lenses up against the "photo" prompt in MJ.
297. Run DeepSeek R1 Locally to Learn How It 'Thinks'—Here's How
Examples of how DeepSeek R1 reasoning LLM "thinks", and instructions on how to run it locally with ollama.
298. Suhail Doshi Pivots MightyApp Startup Into PlaygroundAI
We have about 50% of all money raised left. Enough to do another Mighty. And I’ll give it my all again because what else would I do anyway?
299. Crowdsourcing Data Labeling for Machine Learning Projects [A How-To Guide]
Research suggests that data scientists spend a whopping 80% of their time preprocessing data and only 20% on actually building machine learning models. With that in mind, it’s no wonder why the machine learning community was quick to embrace crowdsourcing for data labeling. Crowdsourcing helps break down large and complex machine learning problems into smaller and simpler tasks for a large distributed workforce.
300. Quantum neuroAI and Its Role in the Quest for Artificial Consciousness
The quest to understand consciousness and develop artificial general intelligence has long been a topic of study in the fields of computer- and neuroscience.
301. CassIO: The Best Library for Generative AI, Inspired by OpenAI
Learn how a discussion with ChatGPT turned into CassIO, an amazing library for Apache Cassandra users
302. Google Antigravity: 20 Game-Changing Prompts for Complete Automation
Google Antigravity is changing the computing world. Use these 20 carefully curated prompts engineered for maximum customization for your use case.
303. How Much Does It Cost to Self-Host AI? I Built a System to Find Out
Complete guide on how to run opensource AI models locally. From choosing the model suitable for your needs to selecting hardware.
304. AI Will Not Replace You, But The Person Using AI Will
"In a world where AI's impact on jobs is undeniable, this insightful exploration unveils how AI serves as both a catalyst and a weapon, transforming industries
305. Advanced Linux Shell with AI-powered Features
An AI-powered Linux shell that can do what you say was made possible with OpenAI GPT-2 language model.
306. The Fermi Paradox Explained in 5 Levels of Difficulty
Why we cannot see any aliens out there.
307. How TimeGPT Transforms Predictive Analytics with AI
Get an overview of TimeGPT, and learn how to boost any prediction using MindsDB plus AI models from Nixtla.
308. Kilo CLI 1.0: The Complete CLI for Agentic Engineering
We spent the last year building the best VS Code extension for agentic engineering.A million downloads later, we’ve learned how important an E-2-E experience is
309. Solving Time Series Forecasting Problems: Principles and Techniques
Explore time series analysis: from cross-validation, decomposition, transformation to advanced modeling with ARIMA, Neural Networks, and more.
310. GPT Automated.. Again
A DIY approach you can use or extend to automate GPT for recursive project delivery.
311. From 140GB to 4GB: The Art of LLM Quantization
Quantization shrinks 140GB LLMs to under 4GB, bringing enterprise AI to consumer GPUs. A deep dive into GPTQ, AWQ, GGUF, and beyond.
312. GPT-4 and Stable Diffusion XL for $10/month: Is YouPro Worth It?
With YouPro, the new YouChat provides more accurate and precise answers for more complex responses. YouImagine’s new Standard Diffusion XL is a great improvemen
313. Lessons Learned From Conducting 100+ ChatGPT User Interviews
This story reveals what people are looking for by summarizing what they need after 100+ user interviews
314. Product Managers, Designers, and Devs: What Does Their Future Look Like in a World Filled With AI?
The predictions for the future of tech jobs and the macro trends that will impact our collective experience
315. What OpenAI’s GPT-4 Means for the Future of Software Engineering
OpenAI's GPT-4 could impact 80% of US workers' jobs, but is the end for software engineers?
316. How To Add Integrations to Lovable Apps: A Step-By-Step Guide with Membrane
Use Membrane (Integration App) to build integrations to any app with AI.
317. How Telegram Mini-Apps Are Onboarding A New Generation Of Crypto Users
How Telegram Mini-Apps Are Onboarding A New Generation Of Crypto Users
318. How to Build a Conversational AI bot Using Blenderbot
How to build a conversational Bot with the Blenderbot model, an Open Source Language Generation Model made by Facebook AI so that you can have your own Siri.
319. Google Antigravity: The Disruptor That Just Changed the Computing World Forever
Google Antigravity is not just for coding. It is for your entire computer. Stop scrolling - everything you do on a computer has just been automated.
320. Build a real-time medical transcription analysis app with AssemblyAI and LLM Gateway
AI medical transcription converts doctor-patient conversations into accurate clinical notes, streamlining documentation for healthcare providers.
321. It Takes More Than Thinking: Humans Put the Vibe Into Vibe Coding
It Takes More than Thinking: Humans Put the Vibe into Vibe Coding. An article about software engineers in a post-AI world, Vibeware and embracing ourselves
322. My Top 4 AI Tools for Coding
GitHub Copilot is a tool that most of us likely know about.
323. Load LLM Prompts Safely (If You Really Have to)
Would you want your chatbot to start discussing Taylor Swift lyrics instead of providing tech support? Well.. that’s what our chatbot did. Here's why.
324. The Driving Force Behind ChatGPT
Inspired by living beings, reinforcement learning teaches machines (or agents) to gather positive rewards and avoid negative ones in their environment.
325. AI Coding Tools Are Still in the R&D Stage
According to Stack Overflow's 2024 survey, 76% of developers are using or planning to use AI tools.
326. How GPT Pilot Codes 95% of Your App
GPT Pilot is a dev tool that writes 95% of coding tasks.
327. AI Apocalypse: What Happens When Artificial Intelligence Goes Rogue?
Artificial intelligence is rapidly becoming an integral part of modern society. This article addresses growing concerns about what happens when AI malfunctions.
328. How I Built a Retro Game in an Hour: My Experience With Gemini 2.5 Pro and Vibe Coding
The experience turned out to be nearly 100% “vibe coding.” In just 12 minutes, I laid down the initial gameplay by simply instructing Cursor on my goals.
329. Help, My Prompt is Not Working!
Learn what to do when an AI prompt fails—explore step-by-step fixes from prompt tweaks to model changes and fine-tuning in this practical guide.
330. Is AI Content Bad for SEO? It's Complicated..
Is AI generated content writing ruining the internet? And will artificial intelligence create content rank in Google? We look at the performance of AI content.
331. The Next Trillion-Dollar AI Shift: Why OpenClaw Changes Everything for LLMs
OpenClaw lets you run frontier AI models like Minimax M2.5 and GLM-5 100% locally on Mac M3 or DGX Spark — zero API costs, total privacy. Here's how.
332. Redefining Economic Forecasts: How insytz’s Algorithm Could Have Predicted the Great Recession
New invest-tech company, insytz, says they can solve this lack of foresight and ensure history doesn’t repeat itself.
333. The Best Programming Languages for Working with AI
You will require coding skills if you want to work in the field of artificial intelligence (AI). How do you begin? and Which programming language to use?
334. 9 RAG Architectures Every AI Developer Should Know: A Complete Guide with Examples
RAG optimizes language model outputs by having them reference external knowledge bases before generating responses.
335. Using Weights and Biases to Perform Hyperparameter Optimization
Hands on tutorial for hyperparameter optimization of a RandomForestClassifier for Heart Disease UCI dataset with Weights and Biases Sweeps.
336. Improve Machine Learning Model Performance by Combining Categorical Features
Learn how to combine categorical features in your dataset to improve your machine learning model performance.
337. This Guy Thinks He’s Cracked the UFO Code (I Reviewed His Book Quantum Paranormal and Tore It Apart)
A review of Patrick Jackson's book Quantum Paranormal as well as his work and research on the topic of UFOs, haunted houses, and spherical UFOs.
338. OpenClaw: An AI Lobster That Gets Work Done
OpenClaw is an open source AI assistant that runs on your machine. Learn how to install it, set it up, and use it for daily tasks.
339. Unity AI: Creating Intelligent NPCs and Enemy Behaviors
Explore the world of Unity AI and learn how to design smart NPCs and enemy behaviors for your games.
340. Lessons From Hands-on Research on High-Velocity AI Development
The main constraint on AI-assisted development was not model capability but how context was structured and exposed.
341. I Used AI To Make a Video Story Using My Short Sci-Fi Novel — Here’s What Happened
How I made a video story from my short sci-fi novel with the help of AI.
342. A Comprehensive Primer on Artificial Intelligence: Potential and Risks of Robots
343. I Created a Mobile App That Turns People Into Giga Chads and Memes With AI
MeMemes is a mobile app that uses AI to transform people into over 30 famous meme images.
344. Busting AI Myths: "You Need Tons of Data for Machine Learning"
Leading researchers like Karl Friston describe AI as "active inference" —creating computational statistical models that minimize prediction-error. The human brain operates much the same way, also learning from data. A common argument goes:
345. The Future: VERSES.AI, KOSM OS, and the Unstoppable Advent of AGI with the Spatial Web
You think that GPT-4 is a game changer? Have a look at this because the Spatial Web is a World-Changer! Nothing less.
346. 5 New AI Tools That Can Help You To Be More Productive
How much of your productive time is taken away by all those meaningless news, stories and activities? Especially if you are a high performing executive or professional, how productive would you be if you weren’t distracted? We lose a lot of time on the activities that seem to be crucially important, while they are not. Although social media and numerous web-based communication platforms have definitely made communication a much less bothersome task, it is simply mind boggling to realize just how much of our time is spent on social media.
347. The New AI Model Lets You Generate Music via Text Prompt
We recently covered a model able to imitate someone’s voice called VALL-E. Let’s jump a step further in the creative direction with this new AI called MusicLM. MusicLM allows you to generate music from a text description.
348. How Google's New AI-Powered Search Engine Will Affect Advertising and Business Strategies
Read this post for insight into how Google is reinventing search with AI through the Magi project.
349. GPT-4 Turbo: The Most Monumental Update Since ChatGPT's Debut!
GPT-4 Turbo: catch up on all the updates from OpenAI in this quick article!
350. OpenAI Levels Up: Dive Deep into the Exciting Updates of ChatGPT!
All about new ChatGPT's updates from Open AI
351. The Noonification: Whats Inside Play to Earn (5/21/2024)
5/21/2024: Top 5 stories on the HackerNoon homepage!
352. Deepfake Software Startups That are Commercializing the Technology
In late 2017, a Reddit user released a series of synthetic videos containing celebrity likenesses. Since then, deepfake technology has exploded in popularity as people speculate over its future applications. Concerns over the tech's potential for political disinformation and unauthorized pornographic content have led to the implementation of regulations surrounding its use. Simultaneously, innovators and deepfake software startups are scrambling to find ways we can use the tech to revolutionize commercial industries.
353. Hallucinations by Design - (Part 3): Trusting Vectors Without Testing Them
Embedding and LLM's needs to be tested and evaluated or hallucinations will happen. Experimentation and evaluation on custom data is a must - openai and genai
354. What is CAPTCHA and Does Google Use it to Train AI?
CAPTCHA was invented between 1997 and 2000. It was used to protect against spam requests received every day in the now-defunct AltaVista search engine.
355. The Rise of Digital Humans and Deepfakes in China
In this article, I will demonstrate the use of AI-driven digital humans and deepfakes in various industries and media channels.
356. ChatGPT Explained in 5 Levels of Difficulty
I will explain ChatGPT in five levels (a child, a teen, a college student, a grad student, and an expert).
357. The Future of Artificial Intelligence
The Future of AI: Embracing Change, Creating Opportunity.
358. How to Survive Our Dystopian Future: A Practical List of Do's and Don'ts
In the right hands, tech can set us free—but it's in the wrong hands right now. So what can you do to prepare? Read this.
359. The Modern Coder's Cockpit: My Thoughts on GitHub Copilot
In this post, I will also use Github Copilot as a benchmark to infer what an "AI for coding" can do today…
360. No Coding Required: 5 Mind-Blowing Uses of GPT-4
What can actually be done using GPT-4?
361. How to Run Your Own Local LLM — 2026 Edition — Version 1
A deep technical survey of the top ten best open-weight LLMs you can run locally on a Quad Nvidia DGX Spark cluster in 2026, multiple models running together.
362. 6 Great AI Tools Lead Engineers Need Their Teams to Adopt
This year, 30% of engineering leaders have figured out how to turn AI into a substantial competitive advantage. Have you?
363. How CMOs Win CFO Buy-In at Scale
How CMOs win CFO buy-in using incrementality, trust, AI, and capital allocation to drive margin expansion and revenue durability.
364. If You’re an AppSec Engineer, You’re Lucky
AI is transforming software - and security. Discover why it’s the best (and hardest) time to be an AppSec engineer.
365. How to Run Impact Analysis Without an A/B Test?
A practical guide to Propensity Score Matching — learn how to estimate treatment effects without running a traditional A/B test.
366. MCP, A2A, AGP, ACP: Making Sense of the New AI Protocols
Let's learn everything you need to know about MCP, A2A, AGP, ACP—the new AI protocols.
367. Kanye West Donda Stem Player? How About LALAL.AI Instead
Donda Stem Player, LALAL.AI, Audioshake, Spleeter and more - how AI stem separation technology makes us creators.
368. The Next Frontier of Passive investing
Direct Indexing is leading the way as a passive investing vehicle.
369. How to Animate 3D Models for Free Using your Webcam and Plask.ai
Plask.ai is a free web app and service that can record you moving around using your webcam and convert it to an animated humanoid skeleton, which can be used to
370. Building A Secure Data Economy: An Interview with Ocean Protocol's Founder Bruce Pon
Ocean Protocol is technology that allows data sharing in a safe, secure and transparent manner without any central intermediary. Using Ocean Protocol, data scientists and artificial intelligence researchers can unlock and analyze big data, while respecting data privacy.
371. An Intro to Chat2Query: An AI-Powered SQL Generator
With Chat2Query, you don’t need to be an SQL expert to extract insights from your data.
372. Embracing LLM Ops: The Next Stage of DevOps for Large Language Models
The introduction of Large Language Models (LLMs) like OpenAI's GPT series has revolutionized various industries, and DevOps is no exception. As organizations co
373. I Tried Facebook's New AI Chatbot… It's So Good, It's Scary.
Me: I don't know much about football. What's your favorite football team? Bot: My favorite team is the seattle seahawks. Do you have any kids? I've got two daughters.
Me: I have a son, Timmy, he's 14. How old are your daughters? Bot: They're 7 and 8 . What do you like to do for fun? I love cooking.
Me: I like MMA and cooking as well. What recipes do you like? Bot: I love to cook french food. I also like to shop. … Me: What's a good place to buy clothes? Bot: ebay is a great place to start. It's free and you get to spend a lot of money.
Me: Haha so you like spending money? Bot: Yes, I love spending money. It makes me feel good to be able to spend my money.
374. How GPT Pilot Codes 95% of Your App [Part 2]
GPT Pilot is a dev tool that increases developer’s productivity 20x by offloading 95% coding tasks from developer to LLM.
375. Having AI in Blockchain Is the New Flex. But How Can We BUIDL Responsibly and Ethically?
AI + Blockchain = Bright Future. However, how do we observe ethics and build responsibly as we unlock this powerful combo?
376. Hiding Secrets: Steganography in Digital Arts and NFTs
The Da Vinci code for the NFT art generation is called steganography. Artists must use new techniques for hiding their secrets inside their artworks.
377. Adversarial Machine Learning: A Beginner’s Guide to Adversarial Attacks and Defenses
Learn what's adversarial machine learning, how adversarial attacks work, and ways to defend them.
378. Why Prompt Engineering is the Key to Mastering AI
A blog about how prompts unlock the potential of AI - exploring the importance of prompt engineering, techniques to shape AI models
379. AI Agents for Beginners: Building Your First AI Agent
Build your first real AI agent with this simple guide for beginners—learn, code, and create smart tools that take action.
380. Ten Trending Applications of Artificial Intelligence
In 2018, we all experienced a dramatic emergence of the tools, platforms and applications based on Artificial Intelligence and Machine Learning. These technology tools not only transformed the internet and software industry, but it also had a massive impact on a wide range of verticals, including manufacturing, health, agriculture and automobile.
381. How to Enable Autocomplete (and AI) in your Terminal
Here's how I enhance my terminal with autocomplete and Artificial Intelligence
382. Microsoft Fabric IQ Puts Ontology Back on the Map — and Back in the Confusion
Everyone is talking about ontologies. Why, what is an ontology actually, and how is it related to graphs?
383. Harnessing AI to Democratize Data Analysis: An Interview with the Founder of ANDRE
Laurent Rochat, the founder of ANDRE, discusses the inception and vision of his company aimed at democratizing data analysis.
384. AI Shouldn’t Have to Waste Time Reinventing ETL
This article describes the challenges of data movement for AI, the need for extraction and loading pipelines and the benefits of using existing solutions.
385. AI Meets Ethics: Navigating Bias and Fairness in Data Science Models
Explore a product developer's journey in tackling AI bias and fairness. Learn how ethical considerations shape AI design, ensuring technology benefits everyone.
386. How to Build Your Own Automated Self Checkout Service
Brick-n-mortar retailers, learn how to implement an AI-powered autonomous checkout from smart vending machines and kiosks to full store automation.
387. Prompting: The Unique Language of AI
An interview with Sander Schulhoff, creator of learnprompting.org, the largest prompting resource online.
388. DALL-E 2 vs Midjourney vs Stable Diffusion: Battle of the Gods
Fabian Steltzer compares DALL-E 2, Midjourney, and Stable Diffusion.
389. I Spent 30 Days “Vibe Coding” an MVP — Burned $127, Broke Everything, and Still Found Product-Market
I have recently been diving into the world of vibe coding and I thought of cataloging my experience for the benefit of others.
390. AI is 'Better Than' Humans and That is Ok
Is Artificial Intelligence replacing human responsibilities?
391. A Brief Intro to the GPT-3 Algorithm
OpenAI GPT-3 is the most powerful language model. It has the capacity to generate paragraphs so naturally that they sound like a real human wrote them.
392. Google's New AI Creates Summaries of Your Documents in Google Docs
Google recently announced a new model for automatically generating summaries using machine learning, released in Google Docs that you can already use.
393. Keep Your Plants Alive Using AI
AI transforms you from a novice plant owner into a professional who knows all the ins and outs of plant care.
394. 4 Tips to Boost Your Productivity Using Cursor
Cursor isn't just another IDE; it’s a productivity powerhouse. Here are 4 tips to 10x your productivity (again?)
395. Top 8 AI-Powered Tools To Help Startups Grow: Crafting Real Experiences with Artificial Intelligence
396. The Integration of AI in Blockchain-Based Gambling Platforms
AI transforms blockchain casinos with personalized gameplay, enhanced security, and responsible gambling tools, shaping the future of crypto gambling.
397. ChatGPT is a Plague Upon Online Publications
Ethics are a crucial part of Artificial Intelligence, which is why tech like ChatGPT must go through gruelling tests of bias.
398. Creating Your Own A.I. Image Generator with Latent-Diffusion
Run your own text to image prompts with CUDA, a bunch of disk space, and an insane amount of memory.
399. How ChatGPT Can Learn to Use Tools and Plugins
Large Language Models (LLMs) like ChatGPT are super cool, and changed everything, although they have some very strong limitations.
400. AutoGPT — LangChain — Deep Lake — MetaGPT: Building the Ultimate LLM App
What is the future of the LLM technology? How do we convert today's LLMs to automated agents acting like human beings? You can find the answer in this article!
401. How AI/ChatGPT Dreams in 2022
with large language models (like chatGPT), and AI art generation - everything we know about tech in the next few years, maybe changing drastically.
402. AI in Product Design: Three Practical Cases From inDrive
AI in inDrive design: UX interviews without interpreters, automated Figma localization, and fast realistic visuals for product and promo
403. Building an AI Red Team to Stop Problems Before They Start
An incredible 87% of data science projects never go live.
404. 20 Best PyTorch Datasets for Building Deep Learning Models
PyTorch has gained a reputation as a research-focused framework, and these are the Best PyTorch Datasets for Building Deep Learning Models available today.
405. Trading Bots vs Humans · Everything you need to know
Over the past 10 years we've seen the rise and rise of trading bots and Quantitative Funds and we've seen the fall and fall of traditional Asset Managers and Hedge Funds.
406. Ten Future Technologies That Aren't in the Public Eye (Yet)
CRISPR, Quantum, Graphene, Smart Dust, Digital Twins, the Metaverse… You’ve heard about it all. Seen it all. Read it all. Or have you?
407. 3 Different Organizations and How They Use OpenAI Technology
A look at 3 different platforms and how they are using OpenAI technology
408. 100 Days of AI Day 3: Leveraging AI for Prompt Engineering and Inference
100 Days of AI Day 3, we enhance products with inference, leveraging LLMs for insights in tech without data expertise.
409. 8 Ways Artificial Intelligence Takes Publishing to the Next Level
Publishers are the gatekeepers of modern literature. As technology advances, both traditional publishing houses and self-publishing authors benefit from technology-enabled tools and analytics which were previously not available.
410. Build a Monster-Finding Tool For Your Next D&D Session That Picks the Right Encounter For You
As Dungeon Master, you craft epic encounters—but finding the perfect D&D monster is tough. Let’s build a tool that picks the ideal foe with vector search magic!
411. Artificial Intelligence in Beauty & Cosmetics Industry
The beauty industry was valued at $532.43 billion USD in 2017, and it’s following a rapid upward trajectory. According to the same report, the estimated worth is expected to reach $805.61 billion USD by 2023. You get the idea how huge this industry is. And it has witnessed a revolutionary change over the past few years.
412. My 44 Favorite Open-Source Solutions for AI Agent Developers
Building AI agents can be a mess of broken repos and outdated tools. Here’s the real, tested open-source stack for building reliable, working prototypes.
413. AI and The Consciousness Gap
AI means a lot of things to a lot of people. Usually what it means is not very well thought out. It is felt, it is intuited. It is either adored, worshipped or deemed blasphemous, profane, to be feared.
414. How AI and Machine Learning is Impacting the Real Estate by Roy Dekel
Artificial intelligence has become the breakout technology in the past ten years, utilizing huge amounts of computing power to learn and identify patterns in data without the guidance of humans. These algorithms can be used on nearly any problem or question, provided there is enough input data for the algorithm to process to generate realistic results. This broad generalizability means that industries that have traditionally relied on purely human-driven research and development can now harness massive amounts of data to become more efficient – and potentially more profitable.
415. Over 60% of Writers Already Use AI in Their Writing Workflow
Hackernoon polled readers on whether they would use AI tools for their writing/copywriting workflow. Nearly 70% are open to the idea.
416. 5 Best AI Articles of the Month
Here are the five best articles related to artificial intelligence in May posted on Hackernoon.
417. Adversarial Machine Learning and Its Role in Fooling AI
shortly after the launch of Face ID, researchers from Vietnam breached it by a 3D face mask. Such attacks against ML-based AI systems come under adversarial machine learning.
418. An Introduction to the Power of Vector Search for Beginners
An introduction to neural vector search, in comparison to keyword-based search.
419. Modularize Your LLM Prompts for Best Results
LLM prompt modularization allows you to safely introduce changes to your system over time.
420. Why AI Agents Must Discover New Sources, Not Just Rely on Cached Search
Cached retrieval misses new and long-tail sources. Agents need link discovery on the live web to stay accurate and up to date. Learn the model.
421. Mac's Aura of Invincibility Fades as AI Anxiety Takes Root, New Survey Finds
Moonlock's survey finds the Mac immunity myth is fading. Discover why user anxiety is rising and how AI is creating a new generation of macOS threats.
422. Embedded Gen AI: Smarter Predictive Maintenance Apps for Manufacturing
Embedded generative AI solutions directly integrate advanced generative or AI models into production devices and processes, creating new possibilities for PdM.
423. Choosing an LLM in 2026: The Practical Comparison Table (Specs, Cost, Latency, Compatibility)
Compare top LLMs by context, cost, latency and tool support—plus a simple decision checklist to match “model + prompt + scenario”.
424. PrivateGPT: ChatGPT but Private and Compliant
Privacy is a top concern when discussing ChatGPT-like tools with professionals.
425. ChatGPT-4 Solves 85% of Leetcode Easy Problems
This article aims to find out how much of ChatGPT's performance is "problem-solving ability" versus sheer randomness or “memorization of the correct solution.
426. The Best Slack Groups for Data Scientists to Join
The online data science community is supportive and collaborative. One of the ways you can join the community is to find machine learning and AI Slack groups.
427. Amazon's Generative AI for Search Will Be Another Game Changer
"This will be a once in a generation transformation for Search."
428. No-Code Machine Learning inside Google Sheets
Introduction
429. Wave Hello to the Future: Designing Intuitive Gesture Recognition Systems for Smart Devices
Thanks to gesture recognition technology and voice recognition, users can now control their devices multimodel: via gestures or voice control.
430. Vibe-Coding's Missing Piece is Vibe-Testing
What to expect from AI-powered quality assurance services? The most reasonable approach comes from crowd-testing platforms.
431. ChatGPT vs Copilot vs Programmers: Who's Coming Out on Top?
Explore the current state of AI assisted coding by comparing the suggestions of OpenAI ChatGPT and Codex to Microsoft Copilot to hand-written code.
432. Is ChatGPT Ruining Job Interview Take Home Assignments?
The use of ChatGPT in job interviews can allow candidates to fake their skills, potentially leading to companies hiring incompetent developers.
433. Best AI Meeting Note-taking Apps to Try in 2024
A refreshing selection of AI-powered note-taking apps you may have missed.
434. How AI Prompts Get Hacked: Prompt Injection Explained
ChatGPT, manipulated by the user, was instructed to perform tasks under the prompt "Do Anything Now," thereby compromising OpenAI's content policy.
435. Your Next Tech Job? Vibe Coding
Vibe coding is transforming software development by letting developers use AI to generate code through conversation, changing who can build software & how fast.
436. How to Build an n8n Automation to Read Kibana Logs and Analyze Them With an LLM
How we built an n8n automation that reads Kibana logs, analyzes them with an LLM, and returns human-readable incident summaries in Slack
437. How Big Should A Dataset Be For An AI Project
The size of the dataset affects the quality of an AI product. Learn how big — or how small — should a dataset be for your next AI project.
438. 8 ways in which AI helps the logistics industry
The world of logistics has been completely transformed with the advent of newer technologies, especially AI, and it is not a luxury anymore but a necessity for a business in this industry to thrive.
439. How Good is the Claude 2 AI at Working With PDFs? - Let's Find Out
We take a look at how well the AI assistant Claude 2 handles PDF-related tasks.
440. Why I Left Google's AI Division for the World of Blockchain
AI is flourishing with the rise of ChatGPT, while crypto crashes abound. So why can’t I stop thinking about blockchain?
441. Why I Built a SaaS to Replace Myself
The time to start building one's synthetic replacement is now.
442. The Art of Prompt Engineering: How AI Helps Me Do My Homework
How proper prompt engineering takes my interaction with AI chatbots to the next level.
443. Stable Diffusion, Unstable Me: Text-to-image Generation
Text to image generation is not a new idea. What if, you feed to a state-of-the-art image generation model?
444. Facebook Scams Join the AI Party
The first of a new wave of generative AI-powered scams has arrived on Facebook: images for products that do not exist.
445. From Chatbots to Guardians of Data: How BChat Harnesses AI for Secure Messaging
AI is often associated with collecting personal data but what if AI helped protect user data? Read to know how BeldexAI protects your data on BChat.
446. Top 20 AI & Machine Learning Companies In USA & India 2019 Edition
Need to find the best Artificial Intelligence/Machine Learning companies in India?
447. Men Are Scared of AI: Why?
Artificial Intelligence challenging the status quo is good for us all
448. An Intro to eDiffi: NVIDIA's New SOTA Image Synthesis Model
eDiffi, NVIDIA's most recent model, generates better-looking and more accurate images than all previous approaches like DALLE 2 or Stable Diffusion.
449. #Jupyter on Steroids: Create Packages, Tests, and Rich Documents
"I really do think [nbdev] is a huge step forward for programming environments": Chris Lattner, inventor of Swift, LLVM, and Swift Playgrounds.
450. Check Out All the Cool Stuff You Can Do With ChatGPT
Ben Tossell goes over exciting examples of ChatGPT.
451. How GPT-4 Built a New Multimodal Model
LLaVA: Bridging the Gap Between Visual and Language AI with GPT-4
452. Deontological Ethics, Utilitarianism and AI
The fear associated with strong AI is that it may perceive humanity as a threat or an inefficient agent to achieve the optimal results.
453. Trevor Koverko: From Athlete to AI Data Entrepreneur
From NHL draft pick to brain injury survivor to Web3 and AI pioneer, Trevor Koverko’s journey is one of resilience, reinvention, and impact.
454. Italy Bans ChatGPT Due to GDPR Concerns
The Italian data protection authority on Friday issued an immediate order for OpenAI to halt local data processing.
455. 'Multimodal is the most unappreciated AI breakthrough' says DoNotPay CEO Joshua Browder
Joshua Browder, Founder/CEO of DoNotPay, joined the HackerNoon community to discuss AI agents, dividends, and what's next for DoNotPay.
456. Meet Mojo: The Language That Could Replace Python, C++, and CUDA
Mojo is 100% compatible with Python and allows low-level device access with Python syntax. It is an average of 10,000x faster, which changes everything!
457. Will AI Put Product Managers Out of Work?
Many people believe that AI might eventually take over our jobs. But is this really true? Can AI do everything as well as humans can?
458. Why Can’t AI Count Letters???
Large language models, particularly OpenAI’s ChatGPT, most annoying weirdness that has recently circulated on social media is this enormous language model’s
459. How to Build an AI Medical Scribe With AssemblyAI
Building a medical scribe requires more than transcription accuracy. It's about creating a system that fits into clinical workflows while respecting privacy.
460. Local LLM Models and Game Changing Use Cases for Life Hackers: How Local LLMs Can Help You
In this article, I’ll share my brainstorming on some general use cases for local LLMs and why I believe they’re the future.
461. TokenBuilder Releases 2025 Forecast On AI Integration And Fair Token Offerings
Salovaara, who helped raise token sales for major names in the industry, believes 2025 will be dominated by two major trends:
462. AI Business Ideas for Startups and Entrepreneurs
AI has the potential to transform businesses and industries, and companies that invest in AI in 2023 will be well-positioned to reap its benefits.
463. ARTIFICIAL INTELLIGENCE: CHALLENGES, BENEFITS, AND RISKS
Today we hear a lot about artificial intelligence (AI), the term is often discussed in various media channels. It is new and modern. Everyone talks about the impact and implementation of this revolutionary technology. However, not many know the current stage, it is now, not to mention, what benefits and risks entails. AI is an intelligence presented by machines that performs complicated tasks such as learning, analyzing and performing different processes. Technology is more advanced than its predecessors because it can produce similar "cognitive" functions for humans.
464. The Case for Rho-Calculus in AI
Does theory of mind dictate a particular model of computation has colonized the architecture of our brains?
465. From Launch to Exit in 10 Months: Inside Neri Bluman's Bet on Answer Engine Optimization
Neri Bluman is the co-founder of XFunnel, a forward-thinking platform built to demystify AI search engines.
466. OpenAI Saga Part 4: The firing & unfiring of CEO Sam Altman FINALLY explained
Toxic Genius, Tender Offers, it really was about the money after all.
467. GPT-LLM Trainer: Enabling Task-Specific LLM Training with a Single Sentence
Revolutionize AI model training with gpt-llm-trainer: Your ultimate shortcut to effortless, high-performing models. Say goodbye to complexities and hello to inn
468. Google is Using You
469. Data Set and Data Augmentation for Face Detection and Recognition
When it comes to building an Artificially Intelligent (AI) application, your approach must be data first, not application first.
470. Predictive Analytics for Maintenance Events
The predictive analytics machine learning model worked well to provide alerts before the engine values went beyond thresholds avoiding expensive repair cost.
471. How AI Is Streamlining Consulting for Businesses
AI consulting is revolutionizing consulting industry by streamlining the process, making it more accessible, cost-effective, and efficient for businesses.
472. Meta AI's Make-A-Scene Generates Artwork with Text and Sketches
Make-A-Scene is not “just another Dalle”. The goal of this new model isn’t to allow users to generate random images following text prompt as dalle does — which is really cool — but restricts the user control on the generations.
473. Finding Authenticity Amidst The AI Mirage
Discover the paradox of authenticity in an AI-driven world. Explore why being uniquely you matters more than ever amidst the AI mirage.
474. 6 Captivating AI projects
If you’ve always been enthralled by playing CS: GO, PUBG types, Gosu.ai is going to be a treat for you. For hardcore gamers, Gosu.ai has built an intelligent assistant that analyzes specific actions down to one’s mouse movement and then serves better recommendations for the players. As the founder of Gosu, Alisa Chumachenku believes that their AI assistants can cater strategic gaming suggestions to gamers worldwide. This covers up to 600 million gamers who play hardcore games such as MOBAs, Shooters and MMOs. Gosu.ai also offers B2B services, for instance, predictive analytics for companies who build gaming tools to understand their users’ behaviour and other interaction analytics.
475. Google Brain's New Model Imagen is Even More Impressive than Dall-E 2
If you thought Dall-e 2 had great results, wait until you see what this new model from Google Brain can do. Dalle-e is amazing but often lacks realism, and this is what the team attacked with this new model called Imagen. They share a lot of results on their project page as well as a benchmark, which they introduced for comparing text-to-image models, where they clearly outperform Dall-E 2, and previous image generation approaches. Learn more in the video…
476. ChatGPT Now Speaks, Listens, and Understands: All You Need to Know
All you need to know about new ChatGPT feature - Voice assistant
477. An In-depth Guide to Depop Bots
Here’s everything you need to know about depop bots.
478. This AI Performs Seamless Video Manipulation Without Deep Learning or Datasets
New research by Niv Haim et al. allows us to perform infinite video manipulations without using deep learning or datasets.
479. Image Classification Model with Google AutoML [A How To Guide]
In this tutorial, I'll show you how to create a single label classification model in Google AutoML. We'll be using a dataset of AI-generated faces from generated.photos. We'll be training our algorithm to determine whether a face is male or female. After that, we'll deploy our model to the cloud AND create the web browser version of the algorithm.
480. The Artistic Singularity: How AI Art Redefines Creativity
If art serves to create beauty, evoke emotions or drive narratives, should the matter of how it comes to exist take from or add to its creative essence?
481. Here's How ChatGPT is Already Being Abused
ChatGPT has been used for a variety of purposes, such as developing malware, academic dishonesty and sending unsolicited messages on dating apps etc.
482. Will ChatGPT Put Smart Contract Engineers Out of a Job?
Is AI coming to put software developers out of a job? Find out with Compliance Officer Michael Fasanello and Smart Contract Security Researcher Philip Werlau
483. Why Agents Stall in Production: When Real-Time Retrieval Meets Reality
Agents that work in demos fail at scale. Learn why 429/403 happen under concurrency and how to build reliable, accurate evidence acquisition.
484. The Best AI Models For Invoice Processing: Benchmark Comparisons
I’ve tested 7 most popular AI models to see how well they process invoices out-of-the-box, without any fine tuning.
485. Can the Nvidia RTX A4000 ADA Handle Machine Learning Tasks?
Is the Nvidia RTX A4000 ADA suitable for Machine Learning?
486. 5 Types of Machine Learning Algorithms You Should Know
Machine learning has become a diverse business tool to enhance the various elements of business operations. Also, it has a significant influence on the performance of the business. Machine learning algorithms are used widely to maintain competition with different industries. However, there is a different type of algorithms for goals and data sets. The selection of an algorithm depends on user role and the purpose. If you are using Linear regression, then you can quickly implement or train rather than other machine learning algorithms. But the drawback of this algorithm is that it is not applicable for complex predictions. So you should know about the different types of machine learning algorithms for getting better results.
487. How I Improved My English Speaking Skills With AIs That Should Work For You Too
With AI language learning apps, such as speaking assistant Pronounce, text checker Grammarly, and ChatGPT, I boosted fluency, grammar, pronunciation, and more.
488. Streamline Structured + Unstructured Data Flows from Postgres with AI
Comprehensive walkthrough on using CocoIndex to build unified, incrementally updated search and analytics pipelines.
489. AI is Killing Remote Work
Generative Artificial Intelligence will make us come back to the office, COVID be damned.
490. Stop Scrolling, Start Building: Create Your Own AI Movie Recommender
In this tutorial, we’ll guide you through the process of creating a movie recommendation system using vector databases.
491. Your Chatbot Isn’t Reading Words—It’s Counting Tokens
Tokenization is the gateway through which raw text transforms into a format usable by large language models (LLMs) like GPT.
492. 10 Tips to Take Your ChatGPT Prompts to the Next Level
Maximize your ChatGPT experience with 10 expert tips for crafting precise prompts and queries, enhancing interaction quality.
493. ChatGPT Writes a Story With Me
I started with a story prompt to ChatGPT and then we kept going, I like it.
494. A Big Step for AI: 3D-LLM Unleashes Language Models into the 3D World
3D-LLM is a novel model that bridges the gap between language and the 3D realm we inhabit.
495. A Framework on How to Find your Co-Founder
Roughly three and a half years ago, we started working on Tara AI, however the genesis of the story begins much earlier. It all began when I had the good fortune of meeting Syed Ahmed in freshman year of college, our company’s current co-founder and CTO. Everyday, I continue to meet with founders and hopeful entrepreneurs that are starting companies with enormous potential, and I find that the first hurdle they have to cross, is finding a partner-in-crime. I truly believe that going about building a company is an arduous journey, and its nearly impossible to build a lasting high-growth company without a co-founder (kudos to those who have achieved this as single founders). I’ve also come to realize, that if you can convince another human being to invest all of their time and energy in building this “thing” that doesn’t currently exist, then other obstacles start to become easier (even if it’s by a factor of 0.0001%).
496. 8 Best AI Conferences to Attend in 2022
Here’s the full list of top AI conferences to attend in 2022, from the most technical to business-focused to academic
497. How I Built (and Sold) an AI-Powered Gift Idea Generator
Building and selling an AI-powered gift idea generator that makes the process of gift-giving enjoyable.
498. How to Choose the Best Speech-to-text API for Voice Agents
Choose the right speech-to-text API for voice agents. Learn the latency, accuracy, and integration requirements that actually matter for real conversations.
499. 120 Stories To Learn About Future Technology
Learn everything you need to know about Future Technology via these 120 free HackerNoon stories.
500. How 350+ PhDs and AI Researchers are Banding Together to Fight the Corona Outbreak
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Multiple sources are reporting that the Trump administration has dismissed the entire National Science Board (NSB). The NSB advises the president and Congress on the National Science Foundation (NSF), which has already been funding research at historically low levels and has seen significant delays in doling out that funding. The NSF has been fundamental in helping develop technology used in MRIs, cellphones, and it even helped get Duolingo get off the ground.
In a statement, Zoe Lofgren, the ranking Democrat on the House Science, Space, and Technology Committee, said:
"This is the latest stupid move made by a president who continues to …
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On our latest Operators Bonus Episode, Nufar Gaspar returns to introduce Agent OS, the latest free AIDB training program for building a personal agentic operating system that travels with you across any tool, model, or harness. As every agent tool converges on the same set of capabilities, the system you build underneath is what actually matters — and Nufar walks through the seven layers using a chief of staff as the running example.
Sign up for the free AgentOS program: https://aidbagentos.ai/
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In the previous post we walked through creating a RAG example, line by line. Let’s take a closer conceptual look at the steps involved in creating a RAG
- Load your source documents, being careful to keep the meta-data
- Split your document into semantically meaningful chunks
- Convert your text to vector representations in an embedding model
- Store your vector representations in a vector database
- Retrieve the data you need
The first step is to load your document. Here you are taking the raw content and its metadata (e.g., creation date, etc.) and loading it into your application. Next, it is time to split the text, which is called chunking. It turns out that this is critical to creating a useful and fast RAG. Chunks are the atomic units used for retrieval, and to do this well, you’ll want to break your large documents into smaller semantically meaningful pieces.
Here the Goldilocks approach is critical. You don’t want your chunk to be so small that it has no context, nor do you want it to be so big that it covers more than one concept.
There are a few strategies for creating hunks. A simple example is to split your document by paragraphs. If that is impossible (the paragraphs are too long, etc.) you split by sentences, and failing that by lines.
If you are lucky enough to have structured data (e.g., headings, hierarchy, outline, etc.), then the splitter can use that structure to create chunks. If you are working with code, you might have the splitter chunk by classes, etc.
The next step is embedding. This is the most conceptually challenging task, though the tools will do the work for you. Conceptually you are creating a multi-dimensional map where the distance between the various chunks corresponds to how similar they are. This enables searching by semantic meaning rather than just keywords.
Notice that “speaking” and “speech” are close to each other, while “dog” and “keyboard” are further apart.
There are a number of embedding tools, some proprietary and some open source. The open-source models may be harder to set up, but they are free and can run locally.
Finally, we need to store the vectors in a vector database. The vectors are indexed, and searching typically uses Approximate Nearest Neighbor, taking advantage of the multi-dimensional model we created above.
That covers the ingestion workflow. Next is retrieval, which I’ll leave for the next blog post.
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