Augmented Language Fashions (LLM Bootcamp)

On this video, Josh walks by the patterns for augmenting language fashions with exterior context: retrieval augmentation, chaining, and gear use.

Obtain slides from the bootcamp web site right here: https://fullstackdeeplearning.com/llm-bootcamp/spring-2023/augmented-language-models/

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

Watch the remainder of the LLM Bootcamp movies right here: https://www.youtube.com/playlist?list=PL1T8fO7ArWleyIqOy37OVXsP4hFXymdOZ

0:00:00 Why augmented LMs?0:06:40 Why retrieval augmentation?0:08:25 Conventional info retrieval0:13:05 Embeddings for retrieval0:22:15 Embedding relevance and indexes0:28:42 Embedding databases0:38:50 Past naive embeddings0:41:10 Patterns & case research0:46:16 What are chains and why do we’d like them?0:52:50 LangChain0:54:55 Software use0:59:17 Plugins1:02:38 Suggestions for device use1:04:07 Recap & conclusions

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