We will be Learning about the conceptual underpinning of embeddings and vector databases. 

Exploring the evolution of Large Language Models (LLMs), from transformers to techniques like fine-tuning, inference acceleration, and reasoning models. 

Learning to build sophisticated AI agents by understanding their core components and the iterative development process. 

Delving into the creation and application of specialized LLMs like SecLM and Med-PaLM, with insights from the researchers who built them.

And so much more.