The June 2024 report introduces best practices for architecting solutions with large language models, focusing on insurer applications to boost productivity and decision quality. It highlights retrieval-augmented generation as the leading method, using a search preprocessor to provide relevant knowledge and context to LLMs. Vector searching enables efficient similarity matching for complex use cases. As LLMs integrate into development stacks and business applications, they will empower nontechnical staff to rapidly deploy AI-powered solutions, transforming workflows and the nature of work.

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