Using Yann LeCun's LeJEPA paper as an example, Jonno Whittaker walks through his process for how to read an academic paper with an LLM.  He sets up the needed context, loads the paper, and then asks for summaries and explanations. Tools allow him to explore the source code repo from within the LLM environment. He concludes by building a simple interactive demo in order to develop intuition for the ideas in the paper.

00:00 - Set up context 
00:44 - Background on the paper 
09:56 - Ask for summaries and targeted explanations 
11:19 - Try the code from the paper 
13:44 - Use file tools to explore the source repo 
15:06 - Build a minimal interactive demo to develop intuition 
17:00 - Iterate 

This was part of a lesson in the How to Solve It With Code fast.ai course. Find out more here: https://solve.it.com/

How to Actually Understand Dense Machine Learning Papers - Solveit free lesson