Prompt Engineering

In Depth

Prompt engineering is the art and science of crafting effective instructions for AI models. Techniques include few-shot prompting (providing examples), chain-of-thought reasoning (asking the model to explain its thinking), role prompting (assigning a persona), and structured output formatting. Good prompt engineering can dramatically improve AI output quality, reduce hallucinations, and ensure outputs match specific requirements. It's a key skill for anyone working with LLMs in content creation, coding, or analysis.

Examples

• System prompt: "You are a senior technical writer specializing in API docs."
• Few-shot: providing 3 example Q&A pairs before the actual question
• Chain-of-thought: "Let's think step by step about this problem."

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