Definition
The practice of designing and optimizing input text to get the best possible output from AI language models.
Detailed Explanation
Prompt engineering involves crafting precise instructions and context to guide AI models toward desired outputs. It encompasses understanding model behavior structuring inputs effectively and using techniques like few-shot learning and chain-of-thought prompting. Success requires knowledge of model capabilities limitations and response patterns.
Use Cases
Content generation code writing data analysis creative writing and specialized task automation
