Comparing Fine-Tuning and RAG Pipelines in Large Enterprises Cost Accuracy and Governance Trade-Offs

In the fast-paced world of artificial intelligence, major companies like Microsoft, Google, and OpenAI are leading the charge. A standout innovation in this field is Retrieval-Augmented Generation (RAG) pipelines. These systems are emerging as a scalable alternative to traditional fine-tuning methods. This article will explore the costs, accuracy, and governance trade-offs between fine-tuning and RAG architectures, featuring real-world case studies and data to illustrate key points.

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