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Exploring Emerging Architecture Patterns for LLMs and AI in Software Development
The chapter dives into the emerging architecture patterns for Large Language Models (LLMs) and the application of AI in software development. It discusses the challenges and benefits of retrieval augmented generation (RAG) compared to fine-tuning, tools for observability and managing prompts/responses, and the impact of LLMs on codebases. The conversation extends to AI-assisted software teams, concerns regarding code quality and gender data, and the importance of continuous monitoring and improvement in software development.