Mark, thanks!

Let's build the GPT Tokenizer -- Andrej Karpathy

CUDA MODE

https://www.youtube.com/@CUDAMODE/videos

https://github.com/cuda-mode/lectures

https://datawhalechina.github.io/llm-cookbook/#/

面向开发者的大模型手册 - LLM Cookbook

https://github.com/datawhalechina/llm-cookbook

https://github.com/elicit/machine-learning-list

A curriculum for learning about foundation models, from scratch to the frontier

Ilya sutskever gave john carmack this reading list of approx 30 research papers and said, ‘If you really learn all of these, you’ll know 90% of what matters today.’

https://arc.net/folder/D0472A20-9C20-4D3F-B145-D2865C0A9FEE

The Potential for AI in Science and Mathematics

mark

Free AI Books:

https://www.amazon.com/gp/product/B0CW1LP4TH?ref_=dbs_p_pwh_rwt_cpsb_cl_0&storeType=ebooks: ChatGPT Odyssey: Journeying Through the Wonders of AI Dialogue 

https://www.amazon.com/gp/product/B0CW1FJHFH?ref_=dbs_p_pwh_rwt_cpsb_cl_1&storeType=ebooks: ChatGPT in Content Creation: Transforming Creativity with Artificial Intelligence and Revolutionizing the Creative Landscape 

https://www.amazon.com/gp/product/B0DGDNXF54?ref_=dbs_p_pwh_rwt_cpsb_cl_2&storeType=ebooks: AI Genesis: Crafting Content with Generative Intelligence