Prompting: When It's Enough
~10 min read
If your task doesn't need a custom knowledge base and doesn't need to change the model's behavior or style, prompt engineering alone is sufficient — the cheapest, fastest option to reach for first.
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Key points
- •Prompt engineering is sufficient when a task needs neither a custom knowledge base nor a change to the model's behavior/style
- •'Behavior' here means vocabulary, writing style, and structural conventions, not just factual knowledge
- •Fits: general summarization, common-knowledge Q&A, general classification, translation, standard-style code generation
- •Prompting has the lowest infrastructure cost and fastest iteration loop of all 3 approaches
- •Prompting should be the default starting point — reach for RAG or fine-tuning only once you've identified a specific gap it can't close