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.
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. Large Language Models, Artificial Intelligence, Dspy, Editors Pick, Llmops, Prompt Engineering Towards Data ScienceRead More



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