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2min chapter
Cohere co-founder Nick Frosst on building LLM apps for business
Machine Learning Street Talk (MLST)
Developing General Purpose Models for Business Using Retrieval Augmented Generation
This chapter explores creating specialized models for businesses using retrieval augmented generation, contrasting it with the method of incorporating all information in a long context window. It focuses on the steps involved in retrieval augmented generation, including generating queries, finding relevant documents, measuring similarity, and refining results for answering questions.
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