The Best Articles in Machine Learning
The most useful articles in Machine Learning from around the web—beginners to advanced—curated by thought leaders and our community. We focus on timeless pieces and update the list whenever we discover new, must-read articles or videos—make sure to bookmark and revisit this page.
Top 5 Machine Learning Articles
At a glance: these are the articles that have been most read, shared, and saved in Machine Learning by Refind users in 2023.
Videos
Watch a video to get a quick overview.
How to write good AI prompts
(Getting started with Notion AI 4 of 5) Learn how to generate text from scratch using Notion AI, with a focus on writing good prompts and refining output.Get...
What is ...?
New to Machine Learning? These articles make an excellent introduction.
Free AI for Beginners Course
Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all.
What is reinforcement learning? How AI trains itself
Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results.
Learn Julia For Beginners – The Future Programming Language of Data Science and Machine Learning Explained
Julia is a high-level, dynamic programming language, designed to give users the speed of C/C++ while remaining as easy to use as Python. This means that developers can solve problems faster and more…
«So now the function is defined to take in only a string. Let us test this out to make sure we can only call the function with a string value»
Introduction to Machine Learning for Developers
Developers often hear about leveraging machine learning algorithms in order to build more intelligent applications, but many don’t know where to start.
What is it to be Bayesian? The (pretty simple) math modelling behind a Big Data buzzword
If you’ve ever tripped up over the term ‘Bayesian’ while reading up on data or tech, fear not. Strip away the jargon and notation, and even the mathematics-averse can make sense of the simple yet…
How to ...?
How to Spot a Machine Learning Opportunity, Even If You Aren’t a Data Scientist
What do you want to predict, and do you have the data?
«What are some outcomes worth guessing? And do we have the data necessary to do supervised learning?»
How to learn PyTorch: A resources guide for developers
If you want to learn PyTorch, check out these books, courses, tutorials, videos, and websites about the open source machine learning library.
Trending
These links are currently making the rounds in Machine Learning on Refind.
Young children trounce large language models in a simple problem-solving task
Large language models like ChatGPT are immensely powerful — the first artificial intelligences to produce truly human-like content. They are already being used to provide customer service, write…
«large language models: While they are remarkable imitation engines, repurposing and spreading what’s already known and created, they do not introduce novel ideas.»
How real is the threat of data poisoning to generative AI?
A new tool has been created to poison image-output models like Midjourney and DALLE-2. Are text-output models like ChatGPT and Copilot next?
«Nightshade might trip up AI models now, he says, but future filtering techniques and generative model architectures will probably be able to swallow the poison with no ill effects. The same would presumably apply to facial recognition and deepfake algorithms, necessitating a new subset of arms race between the hacker and the hacked.»
GraphCast: AI model for faster and more accurate global weather forecasting
Our state-of-the-art model delivers 10-day weather predictions at unprecedented accuracy in under one minute
Google DeepMind’s AI Weather Forecaster Handily Beats a Global Standard
Machine learning algorithms that digested decades of weather data were able to forecast 90 percent of atmospheric measures more accurately than Europe’s top weather center.
Are language models good at making predictions? — LessWrong
To get a crude answer to this question, we took 5000 questions from Manifold markets that were resolved after GPT-4’s current knowledge cutoff of Jan…
Short Articles
Short on time? Check out these useful short articles in Machine Learning—all under 10 minutes.
Google "We Have No Moat, And Neither Does OpenAI"
Leaked Internal Google Document Claims Open Source AI Will Outcompete Google and OpenAI
«Research institutions all over the world are building on each other’s work, exploring the solution space in a breadth-first way that far outstrips our own capacity.»
AI Prompt Engineering Isn’t the Future
Despite the buzz surrounding it, the prominence of prompt engineering may be fleeting. A more enduring and adaptable skill will keep enabling us to harness the potential of generative AI? It is called…
«So, what is a more enduring and adaptable skill that will keep enabling us to harness the potential of generative AI? It is problem formulation — the ability to identify, analyze, and delineate problems.»
Some Neural Networks Learn Language Like Humans
Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.
A guide to prompting AI (for what it is worth)
A little bit of magic, but mostly just practice
«Prompting is a skill that can be learned and improved with practice. The best way to learn is to use AI as your partner and your teacher.»
A Beginner's Guide to Prompt Engineering with GitHub Copilot
When I started using GitHub Copilot and other generative AI tools, I felt frustrated because I wasn't receiving the expected results. How were people feeling so successful with these tools, and why…
Long Articles
These are some of the most-read long-form articles in Machine Learning.
Consciousness: New Concepts and Neural Networks
The definition of consciousness remains a difficult issue that requires urgent understanding and resolution. Currently, consciousness research is an intensely focused area of neuroscience. However, to…
A jargon-free explanation of how AI large language models work
Want to really understand large language models? Here’s a gentle primer.
«ChatGPT is built on a neural network that was trained using billions of words of ordinary language.»
Emerging Architectures for LLM Applications
A reference architecture for the LLM app stack. It shows the most common systems, tools, and design patterns used by AI startups and tech companies.
Tiny Language Models Thrive With GPT-4 as a Teacher
To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.
What Is ChatGPT Doing … and Why Does It Work?
Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language…
Thought Leaders
We monitor hundreds of thought leaders, influencers, and newsletters in Machine Learning, including:
Andrew Ng
Co-Founder of Coursera; Stanford CS adjunct faculty. Former head of Baidu AI Group/Google Brain. #ai #machinelearning, #deeplearning #MOOCs

Hilary Mason
Co-Founder of @HiddenDoorCo. Formerly Founder of @FastForwardLabs (acquired by @Cloudera). I ♥ data and cheeseburgers. She/her.
Demis Hassabis
Co-founder & CEO Google DeepMind - working on AGI. Trying to understand the fundamental nature of reality. Also revolutionising drug discovery @IsomorphicLabs
The Gradient
The Gradient cuts through the hype and the cynicism to provide accessible, sophisticated reporting on the latest AI research. http://sigmoid.social/@thegradient
OpenAI
OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring: http://openai.com/jobs
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