Email summary of top AI discords + AI reddits + AI X/Twitters, and send to you each day!

A feed of trending repos/models from GitHub, Replicate, HuggingFace, and Reddit.

Covering the biggest news of the century - the arrival of smarter-than-human AI. What is happening, what might soon happen, what it means and what we can do with it.

Deeply researched interviews – features insightful interviews with experts across fields like technology, entrepreneurship, and philosophy, unpacking complex ideas on societal impacts.

Deep philosophical dives into the future of AI and humanity.

Deep learning is transforming the world. We are making deep learning easier to use and getting more people from all backgrounds involved through our free courses for coders, software library, cutting-edge research, and community.

What a time to be alive! Channel provides brief, accessible summaries and explanations of complex scientific papers.

Great resource for those interested in AI technologies like ChatGPT, OpenAI, and LangChain, as well as individuals seeking knowledge about data science, data visualization, and data bootcamps.

I'm Radek, a Senior Data Scientist at NVIDIA and a 2x Kaggle Grandmaster. I started to learn programming and Machine Learning at 29 using online resources. I create videos for those who want to do awesome things in machine learning and don't have a traditional academic background.

AI, No-Code, Tech, Futurism - I'm a tech nerd and talk about tech nerd stuff.

High-intensity ⚡ code tutorials to help you build & ship your app faster. Recently covering AI news, tutorials, and demos.

Michaël Trazzi discuss why experts believe what they believe about the future of AI progress.

Lex Fridman Podcast and other videos.

Python Programming tutorials, going further than just the basics. Learn about machine learning, finance, data analysis, robotics, web development, game development and more.

HuggingFace is on a mission to solve Natural Language Processing (NLP) one commit at a time by open-source and open-science.

Guide to getting started with the OpenAI API.

A tool to understand how a piece of text would be tokenized by the API, and the total count of tokens in that piece of text.

Article from the OpenAI help center on how to give clear and effective instructions to GPT-3 and Codex

This tool lets you try out different settings (engines, temp, top p, etc.) and compare the results.

The paper describing GPT-4, the latest version of OpenAI's language model.

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

A free course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.

Meta Learning is an actionable roadmap to learning machine learning efficiently. It will show you exactly what you need to learn and how to learn it in order to become a world-class machine learning professional in the least amount of time.

Digestible breakdowns of AI for non-technical and technical folks alike.

A course by Andrej Karpathy on building neural networks, from scratch, in code. We start with the basics of backpropagation and build up to modern deep neural networks, like GPT.