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Prompt Engineering

Definition

The practice of designing and optimizing input prompts to get desired outputs from AI language models.

In-Depth Explanation

Effective prompts can dramatically improve AI output quality. Techniques include providing context, using examples (few-shot learning), specifying format, and chain-of-thought prompting. Prompt engineering has become a crucial skill for working with LLMs.

Real-World Example

Instead of asking "Write code," a good prompt would be "Write a Python function that takes a list and returns the sum, with error handling for empty lists."

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