The Best Articles in Machine Learning
The most useful articles and videos in Machine Learning from around the web, curated by thought leaders and our community.
Refind focuses on timeless pieces and updates the list whenever new, must-read articles or videos are discovered.
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 2024 so far.
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...
ANYmal can do parkour and walk across rubble
The quadrupedal robot ANYmal went back to school and has learned a lot. ETH Zurich researchers used machine learning to teach it new skills: the robot can no...
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.
«The aptly-named Artificial Intelligence for Beginners is put together by Microsoft Azure Cloud Advocates, and consists of a 12 week, 24 lesson curriculum designed to introduce learners to the wonderful world of AI.»
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»
A visual introduction to machine learning
What is machine learning? See how it works with our animated data visualization.
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 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.
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?»
Trending
These links are currently making the rounds in Machine Learning on Refind.
A change in the machine learning landscape
AI models that use data where it exists rather than centralizing it require stronger privacy and security measures. Introducing the RoPPFL framework.
When A.I. Can Make a Movie, What Does “Video” Even Mean?
Sora, the new text-to-video system from OpenAI, doesn’t make recordings—it renders ideas.
What is Sora? A new generative AI tool could transform video production and amplify disinformation risks
OpenAI’s Sora model is a leap forward for video-generation technology. How does it work, and what will it mean?
What I Learned Trying ChatGPT’s New Memory Feature
The latest update to OpenAI’s chatbot improves the AI’s ability to remember user details, but the feature is not yet available for all ChatGPT accounts.
How to Make AI 'Forget' All the Private Data It Shouldn't Have
When companies use machine learning models, they may run the risk of inadvertently sharing sensitive and private data. Seth Neel explains why it’s important to understand how to wipe AI’s spongelike…
Short Articles
Short on time? Check out these useful short articles in Machine Learning—all under 10 minutes.
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…
«It’s a wonderful irony: When AIs become more childlike, that’s when their abilities might truly explode, with world-changing ramifications.»
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…
«I have identified four key components for effective problem formulation: problem diagnosis, decomposition, reframing, and constraint design.»
Some Neural Networks Learn Language Like Humans
Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.
Google DeepMind’s New AI Matches Gold Medal Performance in Math Olympics
The AI successfully solved 25 of 30 difficult geometry problems, beating previous state-of-the-art algorithms by 15 answers.
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.
Spinning Data into Thought
How Computers Think: Introduction
Thought Leaders
We monitor hundreds of thought leaders, influencers, and newsletters in Machine Learning, including:
What is Refind?
Every day Refind picks the most relevant links from around the web for you. Picking only a handful of links means focusing on what’s relevant and useful.
How does Refind curate?
It’s a mix of human and algorithmic curation, following a number of steps:
- We monitor 10k+ sources and 1k+ thought leaders on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
- In addition, our users save links from around the web using our Save buttons and our extensions.
- Our algorithm processes 100k+ new links every day and uses external signals to find the most relevant ones, focusing on timeless pieces.
- Our community of active users gets the most relevant links every day, tailored to their interests. They provide feedback via implicit and explicit signals: open, read, listen, share, mark as read, read later, «More/less like this», etc.
- Our algorithm uses these internal signals to refine the selection.
- In addition, we have expert curators who manually curate niche topics.
The result: lists of the best and most useful articles on hundreds of topics.
How does Refind detect «timeless» pieces?
We focus on pieces with long shelf-lives—not news. We determine «timelessness» via a number of metrics, for example, the consumption pattern of links over time.
How many sources does Refind monitor?
We monitor 10k+ content sources on hundreds of topics—publications, blogs, news sites, newsletters, Substack, Medium, Twitter, etc.
Who are the thought leaders in Machine Learning?
We follow dozens of thought leaders in Machine Learning, including Andrew Ng, Hilary Mason, Demis Hassabis, The Gradient, OpenAI.
Missing a thought leader? Submit them here
Can I submit a link?
Indirectly, by using Refind and saving links from outside (e.g., via our extensions).
How can I report a problem?
When you’re logged-in, you can flag any link via the «More» (...) menu. You can also report problems via email to hello@refind.com
Who uses Refind?
450k+ smart people start their day with Refind. To learn something new. To get inspired. To move forward. Our apps have a 4.9/5 rating.
Is Refind free?
Yes, it’s free!
How can I sign up?
Head over to our homepage and sign up by email or with your Twitter or Google account.
Keep Learning
Learn something new, guided by experts. Deep Dives are carefully hand-curated series of time-tested articles and videos from around the web.
Get the big picture on your favorite topics.