Augmented Language Models (LLM Bootcamp)

In this video, Josh walks through the patterns for augmenting language models with external context: retrieval augmentation, chaining, and tool use.

Download slides and view lecture notes: https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/augmented-language-models/

Intro and outro music made with Riffusion: https://github.com/riffusion/riffusion

Watch the rest of the LLM Bootcamp videos here: https://www.youtube.com/playlist?list=PL1T8fO7ArWleyIqOy37OVXsP4hFXymdOZ

0:00:00 Why augmented LMs?
0:06:40 Why retrieval augmentation?
0:08:25 Traditional information retrieval
0:13:05 Embeddings for retrieval
0:22:15 Embedding relevance and indexes
0:28:42 Embedding databases
0:38:50 Beyond naive embeddings
0:41:10 Patterns & case studies
0:46:16 …

augmentation beyond bootcamp case case studies context databases embedding embeddings information language language models llm patterns retrieval studies through tool video