Technique
Prompt Engineering
Crafting effective inputs to guide AI model outputs
What is Prompt Engineering?
Prompt Engineering is the practice of designing and refining prompts (input text) to effectively communicate with and guide large language models to produce desired outputs. It involves understanding model behavior and crafting instructions that elicit optimal responses.
Key Points
1
Designs effective input prompts
2
Critical for LLM applications
3
Includes few-shot learning
4
Improves output quality
Practical Examples
Chain-of-thought prompting
Few-shot learning
System instructions
Role-based prompts