LLMs
- Neural Networks: Zero to Hero - From Andrej Karpathy, former Director of AI at Tesla and now at OpenAI.
- Full Stack LLM Bootcamp - From the creators of the Full Stack Deep Learning course and book
- All about LLMs - A gist with great curated learning resources
- Transformers - Introduction to Transformers w/ Andrej Karpathy
- The Illustrated Transformer - A great visual explanation of the Transformer architecture
- How ChatGPT really works - I find this a great initial explanation of how ChatGPT works
- ChatGPT Prompt Engineering for Developers! - Great course by OpenAI employees
- Learn Prompting - Another great course (text-based) about prompting
- Prompt Engineering ⭐ - Great post from Lilian Weng, Head of Applied AI Research at OpenAI
- MLOps Guide - A guide on MLOps
- MLOps Zoomcamp - A great course on MLOps
- Prompt Engineering - Covers the history around LLMs as well as strategies, guidelines, and safety recommendations for working with and building programmatic systems on top of large language models. Very comprehensive!
- Gandalf - A fun way to learn about prompt injection
- Practical Deep Learning - A course designed for people with some coding experience, who want to learn how to apply deep learning and machine learning to practical problems.
- Let’s build GPT ⭐ - From Andrej Karpathy, Let’s build GPT: from scratch, in code, spelled out
- AI Canon ⭐ - A great curated list of resources to get smarter about modern AI
- Generative AI learning path ⭐ - This learning path guides you through a curated collection of content on Generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud
- Rules of Machine Learning - Intended to help those with a basic knowledge of machine learning get the benefit of Google’s best practices in machine learning
- AI Companion App - A tutorial stack to create and host AI companions that you can chat with on a browser or text via SMS