Here's my take on an LLM intro for our ML course at Cornell Tech (with V. Kuleshov). It starts with the foundations then goes through code to use pretrained models for 1) generation, 2) chat, and 3) code infilling.

pdf: drive.google.com/file/d/1CTGo...
ipynb: github.com/kuleshov/cor...

here's the \mathbbmss{X} version

hi everyone!! let's try this optimal transport again 🙃