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Making Your Company LLM-native // Francisco Ingham // #266

MLOps.community

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Navigating RAG Techniques in AI

This chapter explores the complexities of retrieval-augmented generation (RAG) techniques, focusing on tailored approaches for varying data types and use cases. It examines the critical factors in document embedding, the contrast between general retrieval tasks and specific extraction tasks, and the evolving role of AI models. Additionally, the chapter highlights the integration of large language models (LLMs) in e-commerce recommendation systems, emphasizing adaptive interactions to enhance user experiences.

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