Prompt Engineering is the practice of designing, refining, and optimizing input prompts to guide large language models toward generating desired outputs. It involves selecting prompt formats, tuning prompt parameters, and evaluating response quality to improve model accuracy and relevance for specific applications.
Sources:
- OpenAI Documentation: Prompting Guide
- AI21 Labs: Prompt Engineering Best Practices