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Prompt Engineering

Prompt engineering is the practice of designing inputs to language models to reliably elicit high-quality, accurate, and appropriately formatted outputs. It covers everything from writing system instructions to multi-step reasoning pipelines and retrieval-augmented generation. Effective prompting reduces hallucinations, improves consistency, and unlocks capabilities the model already has but needs guidance to apply. The techniques here apply across providers (OpenAI, Anthropic, Google) with minor syntactic differences.

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