The Best Articles in Machine Learning

Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all.

Reinforcement learning is the subset of ML by which an algorithm can be programmed to respond to complex environments for optimal results.

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»

Developers often hear about leveraging machine learning algorithms in order to build more intelligent applications, but many don’t know where to start.

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…

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?»

If you want to learn PyTorch, check out these books, courses, tutorials, videos, and websites about the open source machine learning library.

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.»

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.»

Our state-of-the-art model delivers 10-day weather predictions at unprecedented accuracy in under one minute

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.

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…

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.»

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.»

Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.

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.»

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…

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…

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.»

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.

To better understand how neural networks learn to simulate writing, researchers trained simpler versions on synthetic children’s stories.

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…