Systematic LLM Prompt Engineering Using DSPy Optimization

This article is a journey into the fascinating and rapidly evolving science of LLM prompt iteration, which is a fundamental part of Large Language Model Operations (LLMOPs). We’ll use the example of generating customer service responses with a real-world dataset to show how both generator and LLM-judge prompts can be developed in a systematic fashion […]

The post Systematic LLM Prompt Engineering Using DSPy Optimization appeared first on Towards Data Science.