## AI models - [ChatGPT](https://chat.openai.com) ChatGPT 4o, if you have to choose just one model - [Claude](https://claude.ai) Claude Sonnet 3.5 is as good or better than ChatGPT 4-o - [Gemini](https://gemini.google.com) Very capable and integrates with Google workspaces - [Meta.ai](https://meta.ai) Run Llama online - [Mistral](https://mistral.ai) : 2nd best Open Source model after Llama - [Perplexity](https://perplexity.ai) Should replace Google as your search engine. If you pay the $20 per month, you get access to ChatGPT, Claude, Lllama, and Mistral. - [Ollama](https://ollama.com) Run LLMs on your computer! ## Model Ranking - [LMSYS LLM Leaderboard](https://leaderboard.lmsys.org/) - [Seal LLM Leaderboard](https://scale.com/leaderboard) - [Artificial Analysis](https://artificialanalysis.ai) - [openrouter rankings](https://openrouter.ai/rankings) ## AI Design - [People and AI Guidebook by Google](https://pair.withgoogle.com/guidebook/) - [Human Interface Design for Machine Learning by Apple](https://developer.apple.com/design/human-interface-guidelines/machine-learning) - [Guidelines for Human-AI Interaction by Microsoft](https://www.microsoft.com/en-us/research/project/guidelines-for-human-ai-interaction/) ## Tools - [Google Colab](https://colab.research.google.com/) ## Resources - [OpenAI Cookbook](https://cookbook.openai.com/) - [Anthropic Prompt Generator](https://docs.anthropic.com/en/docs/prompt-generator) - [Prompt Caching with Claude](https://www.anthropic.com/news/prompt-caching) - [Role Prompting Examples](https://docs.google.com/spreadsheets/d/1cEXr4b7xnWjBXrCzLDBG1ev--UBx5oSsDDlAJEruJiA/edit?usp=sharing) (csv) - [[ML+Cheat+Sheet_2.pdf | Machine Learning Cheat Sheet]] (pdf) - [Prompt Library : More Useful Things](https://www.moreusefulthings.com/prompts) - [Perplexity Labs](https://labs.perplexity.ai/) - [Q&A with RAG](https://python.langchain.com/docs/use_cases/question_answering/) - [[Articles for and against AI]] - [Pinecone Langchain Handbook](https://www.pinecone.io/learn/series/langchain/) - [Fineweb](https://huggingface.co/spaces/HuggingFaceFW/blogpost-fineweb-v1) Open Source dataset for LLM training by Huggingface - [[Advanced AI Reading room]] ## Learn more - [Elicit Machine Learning Reading List](https://github.com/elicit/machine-learning-list#introduction-to-machine-learning) - [Stephan Wolfram's Explanation of how LLMs work](https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/) - [Harvard AI course CS50AI](https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python) - [MIT Intro to Deep Learning](http://introtodeeplearning.com/) - [Andrew Ng's Stanford ML Specialization](https://www.coursera.org/specializations/machine-learning-introduction) - [LLM Course](https://github.com/mlabonne/llm-course) - [The Illustrated Transformer](https://jalammar.github.io/illustrated-transformer/) - [The Illustrated GPT-2](https://jalammar.github.io/illustrated-gpt2/) - [Visual Intro to Transformers](https://www.youtube.com/watch?v=wjZofJX0v4M&t=187s) - [LLM Visualization](https://bbycroft.net/llm) - [Neural Networks: Zero to Hero](https://www.youtube.com/watch?v=VMj-3S1tku0&list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ&index=2) - [Let's Build GPT by Andrej Karpathy](https://www.youtube.com/watch?v=kCc8FmEb1nY) - [Karpathy's Neural Network's Zero to Hero](https://www.youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ) - [Building LLMs from scratch](https://www.youtube.com/watch?v=quh7z1q7-uc) - [LangChain Quickstart](https://python.langchain.com/docs/get_started/quickstart/) - [A Short Introduction to Machine Learning](https://www.alignmentforum.org/posts/qE73pqxAZmeACsAdF/a-short-introduction-to-machine-learning) - [But what is a neural network](https://www.youtube.com/watch?v=aircAruvnKk&t=0s) - [Gradient Descent how neural networks learn](https://www.youtube.com/watch?v=aircAruvnKk&t=0s) - [Latent Space AI Engineer Reading List](https://www.latent.space/p/2025-papers) **Follow these people on X / Twitter:** - [Sam Altman @sama](https://twitter.com/sama) - [Yann LeCun @ylecun](https://twitter.com/ylecun) - [Andrej Karpathy @karpathy](https://twitter.com/karpathy) - [Andrew NG @AndrewYNg](https://twitter.com/AndrewYNg) - [Gary Brockman @gdb](https://twitter.com/gdb) - [Ethan Mollick @emollick](https://twitter.com/emollick) - [Eliezer Yudkowsky @ESYudkowsky](https://twitter.com/ESYudkowsky) - [Gary Marcus @GaryMarcus](https://twitter.com/GaryMarcus) - [Santiago @svpino](https://twitter.com/svpino) - [Linus Lee @Thesephist](https://twitter.com/thesephist) - [Yohei @yoheinakajima](https://twitter.com/yoheinakajima) - [Chip Huyen @chipro](https://x.com/chipro)