Prompting as an engineering discipline
A prompt that runs a thousand times a day needs to be treated like code, not a note you typed once. Few-shot, chain-of-thought, and structured output, with the trade-offs.
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Posts on AI engineering, LLM systems, and software development.
A prompt that runs a thousand times a day needs to be treated like code, not a note you typed once. Few-shot, chain-of-thought, and structured output, with the trade-offs.
Three levers for shaping what an LLM does: prompting (ask better), RAG (give it the right context), fine-tuning (change the weights). What each costs, what each fixes, and how to pick.