2min chapter

Machine Learning Street Talk (MLST) cover image

Cohere co-founder Nick Frosst on building LLM apps for business

Machine Learning Street Talk (MLST)

CHAPTER

Exploring Retrieval Augmented Generation for Business Applications

This chapter delves into retrieval augmented generation (RAG) and its application in building efficient general-purpose models for business. It contrasts RAG with traditional methods, emphasizing the benefits of using retrieval techniques to enhance model performance without excessive fine-tuning.

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