Unlocking the Power of COSTAR Prompt Engineering: Practical Guide and Case Studies
· One min read
COSTAR Framework​
- Context: Providing background information helps the Language Model (LLM) understand the specific scenario.
- Objective: Clearly defining the task helps guide the focus of the Language Model.
- Style: Specifying the desired writing style makes the response from the Language Model more consistent.
- Tone: Setting the tone ensures the response matches the required emotional expression.
- Audience: Identifying the target audience makes the response from the Language Model more targeted.
- Response: Providing the response format, such as text or JSON, ensures the output of the Language Model and assists in building workflows.
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