LLM Fundamentals
Objective: Develop a deep understanding of LLM architecture components including tokenization, embeddings, and attention mechanisms. Students will explore the technical foundations that make LLMs work.
Slides
Case Study
LLM Technicals by the course's AI App Developers
Required Readings
- Understanding LLM Tokenization
- Weird Properties of Large Language Models
- Building a Generative AI Platform