resources_llms
Table of Contents
Large Language Models (LLMs): Resources
This is an ad-hoc list of resources about LLMs.
Introduction
- Intro to Large Language Models by Andrej Karpathy
- Large Language Models explained briefly by 3Blue1Brown
- Transformers (how LLMs work) explained visually by 3Blue1Brown
- Attention in transformers, step-by-step by 3Blue1Brown
- How might LLMs store facts by 3Blue1Brown
- Foundations of Large Language Models by Tong Xiao, Jingbo Zhu
- Large language model by Wikipedia
- History, Development, and Principles of Large Language Models-An Introductory Survey by Zichong Wang, Zhibo Chu, Thang Viet Doan, Shiwen Ni, Min Yang, Wenbin Zhang
- Visualizing transformers and attention by Grant Sanderson
Courses
- Neural Networks: Zero to Hero by Andrej Karpathy
- A course by Andrej Karpathy on building neural networks, from scratch, in code.
- Neural networks by 3Blue1Brown
- Basics of neural networks, backpropagation, transformers
resources_llms.txt · Last modified: 2025/02/02 20:48 by manish