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technologyreview.com·2h ago
Data Science
Simon Willison's Blog·Jul 2·5 min read
Using DSPy to evaluate and improve Datasette Agent's SQL system prompts
TL;DR
Datasette Agent's SQL system prompts were limited in their ability to accurately execute read-only SQL queries. DSPy, a tool for evaluating and improving data systems, was utilized to enhance these prompts.
✦ Why It Matters
Engineers can enhance SQL query performance by refining system prompts based on evaluation insights from DSPy.
Key Takeaways
- Use DSPy to evaluate AI system prompts effectively.
- Include column names in schema listings to reduce errors.
- Test improvements with different AI models for best results.
- Refine prompts based on user query patterns for better performance.
How It Works
DSPy evaluates the effectiveness of system prompts by analyzing their performance in executing SQL queries. By identifying specific areas for improvement, such as the inclusion of column names in schema listings, developers can enhance the accuracy and efficiency of AI responses.