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Optimizing Large Language Models for Information Retrieval Challenges
The chapter delves into the challenges faced in combining large language models with data retrieval technology, emphasizing misconceptions around training models on data and the importance of integrating search capabilities. It discusses the intricacies and stages of training large language models and highlights the significance of contextual prompts and information retrieval technologies. Emphasizing the role of context, information hygiene, and structured data management, the chapter explores enhancing language models through effective knowledge curation and information architecture.