1. Keeping up with AGI

Important ML Notes

2. LLM Course

https://github.com/mlabonne/llm-course

It's a step-by-step guide with curated resources divided into three parts: fundamentals, science, and engineering (W.I.P.).

1. 🧩 LLM Fundamentals covers essential knowledge about mathematics, Python, and neural networks.
2. 🧑‍🔬 The LLM Scientist focuses on learning how to build the best possible LLMs using the latest techniques
3. 👷 The LLM Engineer focuses on how to create LLM-based solutions and deploy them.

Perfect for beginners and ML experts.

3. Probabilistic Machine Learning (3 books) by Kevin Murphy

Fundamental AI/ML understanding

https://github.com/probml/pml-book

4. ChatGPT Prompting Steps

Rowan Cheung on Twitter / X