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cloud.google.com·8h ago
Data Science
Towards Data Science·Sep 3·5 min read
Changing One Prompt Can Affect 50 Others — I Built a Prompt Dependency Graph to Find What Needs Retesting
TL;DR
A prompt dependency graph was developed to identify which prompts require retesting after changes, revealing that altering one prompt can impact up to 50 others.
✦ Why It Matters
Implement a prompt dependency graph to optimize your retesting process and save valuable engineering time.
Key Takeaways
- Use a dependency graph to identify components needing retesting.
- Narrow down evaluation sets to save time and resources.
- Understand the difference between reachable and candidate sets.
- Track dependencies at the section level for better accuracy.
How It Works
The prompt dependency graph analyzes dependencies by tracking which components directly use a changed section and their downstream effects. It employs a breadth-first search to explore connections, allowing for precise identification of what needs re-evaluation.