Treating LLM prompts like code: a regression catalog for AI failures

1. 1Build a catalog of common AI failures to reference when debugging prompts
2. 2Run regression tests on LLM prompts to identify issues
3. 3Configure a testing framework to automate prompt testing
4. 4Test prompts with different inputs and edge cases to ensure robustness
5. 5Apply lessons learned from the catalog to improve prompt engineering practices

This benefits AI/ML engineers and researchers who work with LLMs, as it helps them identify and fix issues with their prompts, leading to more reliable and efficient models

💡 Treating LLM prompts like code allows for more structured and reliable development of AI models

🚀 Treat LLM prompts like code! Create a regression catalog to debug & improve prompt engineering #LLM #PromptEngineering