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Exploring the Trade-offs between RAG and Fine-tuning for AI Models
This chapter delves into the considerations when choosing between RAG and fine-tuning for specialized fields, analyzing the level of expertise required and their suitability for specific tasks. It also discusses the challenges in utilizing different models, shifts in enterprise mindset towards fine-tuning, and the maturity levels of organizations in adopting multi-model capabilities for AI.