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Prompt Engineering and Evaluation
- Prompt Engineering:
- A set of techniques used when writing or editing a prompt.
- Goal: To aid the AI (e. g. , Claude) in understanding the request and desired response format.
- Prompt Evaluation:
- The process of automatically testing a prompt.
- Goal: To obtain an objective metric that measures the prompt's effectiveness.
- Prompt Writing Process (Three Paths):
- Option 1: Test the prompt once or twice, then deploy it (Not recommended).
- Option 2: Test with custom inputs and make minor tweaks for corner cases (Better, but insufficient).
- Option 3 (Recommended): Run the prompt through an evaluation pipeline to receive an objective score, then iterate on the prompt to maximize performance.
- Key Takeaway: Relying on Options 1 or 2 is a common pitfall for engineers; comprehensive evaluation (Option 3) is highly recommended.
Takeaways
- Prompt Engineering involves using specific techniques to help AI understand requests and desired response formats.
- Prompt Evaluation is the automated process of testing a prompt to obtain an objective metric of its effectiveness.
- The recommended prompt writing process (Option 3) requires running the prompt through an evaluation pipeline to receive an objective score.
- Relying on simple testing with custom inputs (Options 1 or 2) is insufficient and a common pitfall for engineers.
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