paper-reading

Why we included this project

This repository pairs deep learning papers with recorded video walkthroughs that go through the text section by section. Aston Zhang and collaborators maintain it, covering older foundational work like GPT-4 and InstructGPT as well as multi-part deep dives into newer models such as Llama 3.1 and Sora. The videos are aimed at researchers, graduate students, and engineers who want to follow the reasoning behind a paper rather than just read the abstract, explaining motivation, method, and practical details in plain language. Entries are listed by date with links to both bilibili and YouTube, so the collection works as a structured study path through the literature. It is a learning resource rather than a deployable tool, but a genuinely useful one for building understanding.