Prompt engineering involves designing, creating, and optimizing prompts for the purpose of extracting accurate, consistent, and fair outputs from large language models (LLMs).
๐ฅ To enhance the problem-solving ability of LLMs, high-quality prompts are crucial.
A prompt usually consist five key components, which include: Context, Instruction,Relevance,Constraints, and Demonstration.
Sample prompt template:
Instruction: "Write", "Classify", "Summarize", "Translate", "Order", etc.
Context
Input Data
Output Indicator