YGELP LLMs

Hi friends 👋 — I'm Kyle Jensen. I teach a lot of tech and entrepreneurship stuff here at Yale SOM. Thanks so much for letting me join you today!

📃 My slides from today as PDF

This small website contains a summary of the content we're addressing this Monday May 6th, 2024. Our learning objectives are to conceptually understand

  1. How neural networks work
  2. How embeddings work
  3. How attention and transformers work
  4. How LLMs like ChatGPT are built from these components

We'll cover those concepts in class. While doing so, I hope to sprinkle in

  1. Discussion of what makes for good business opportunities for AI
  2. Practical hand-on experience with a little bit of code

Of course, we can't possibly learn all of the above in the short time alloted to us. Thus, I made this website so you could refer back to what we covered and also so that I could point you to resources for further learning.

Parts

  1. Neural networks
  2. Recurrent neural networks
  3. Embeddings
  4. Attention
  5. Transformers
  6. GPTs
  7. RAG and agents

Stay in touch

I'd love to hear how you're using AI and LLMs in your work. Please don't hesitate to reach out to me. (Not that I'm always super about email 😔.)