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