This article presents a framework for deciding between fine-tuning, Retrieval-Augmented Generation (RAG), and prompting for AI projects. It clarifies the definitions of each technique, noting that they are not mutually exclusive and can be used in combination. The core of the decision process involves diagnosing the specific problem, such as a lack of knowledge, incorrect formatting, inappropriate tone, or deployment constraints like cost and latency. AI
IMPACT Provides a structured approach for developers to optimize AI model usage, potentially saving resources and improving performance.
RANK_REASON Article provides a framework and analysis of existing AI techniques rather than announcing a new development.
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