A foundational guide to prompt engineering for developers building applications on top of LLMs. Covers how LLMs work as document completion engines, the ChatML format, context engineering (what to include and how to structure it), token limits, function calling for real-time data, stateful conversation loops, the 'lost in the middle' phenomenon, using structured formats like XML for parseable responses, and how to choose the right model based on cost, speed, and capability.
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