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Expansion of Use Cases for LLMs and Retrieval Augmentation
This chapter explores the expansion of use cases for LLMs and the concept of retrieval augmented generation. It discusses the tools available for data formatting and ingestion, compares retrieval augmentation to fine-tuning, and examines the benefits and limitations of long context lengths.