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»

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…

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

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.

Leaked Internal Google Document Claims Open Source AI Will Outcompete Google and OpenAI

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…

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

In this post, Phillip talks through the challenges & pitfalls of LLMs we faced when building our Query Assistant - and that you too may face.

Articles by Stephen Wolfram covering artificial intelligence, computational science and computational thinking, data science, education, future and historical perspectives, sciences, software design,…

“Liquid” neural nets, based on a worm’s nervous system, can transform their underlying algorithms on the fly, giving them unprecedented speed and adaptability.

We got a first look at the much-anticipated big new language model from OpenAI. But this time how it works is even more under wraps.

Galactica was supposed to help scientists. Instead, it mindlessly spat out biased and incorrect nonsense.

Spoiler alert: the answer is maybe! Although, my inclusion of the word “actually” betrays my bias. Vector databases are having their day right now. Three different vector DB companies have raised…

It’s a development that could be useful for applications from outer space to the deep sea.

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…

Shared by 597, including Nico Müller 🇺🇦, Matt Schlicht, Alexander Seifert

Everyone carries a shadow, and the less it is embodied in the individual’s conscious life, the blacker and denser it is. — Carl Jung …

Listen to our Co-founder Des Traynor and Director of Machine Learning Fergal Reid discuss the implications of ChatGPT on tech and customer support.

A mystery Large Language Models (LLM) are on fire, capturing public attention by their ability to provide seemingly impressive completions to user prompts (NYT coverage). They are a delicate…