Prompt Engineering
Definition
The practice of crafting effective instructions and inputs for AI models to elicit desired outputs, including techniques like few-shot examples, system prompts, and chain-of-thought reasoning.
Prompt engineering has emerged as a critical skill for working with large language models. The way you phrase a request can dramatically affect the quality, accuracy, and format of the model's response. Key techniques include providing clear instructions, using few-shot examples, specifying output format, role-playing ("You are an expert..."), chain-of-thought prompting ("Think step by step"), and setting constraints. System prompts establish the model's behavior and personality for an entire conversation. Advanced techniques include tree-of-thought, self-consistency, and ReAct prompting for agentic tasks. While some predicted prompt engineering would become obsolete as models improve, it remains important because models are sensitive to input framing. Organizations now hire dedicated prompt engineers and build prompt management systems.
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