Category: Llmops
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LLM Monitoring and Observability: Hands-on with Langfuse
LLM Monitoring and Observability: Hands-on with Langfuse Learn the fundamentals of LLM monitoring and observability, from tracing to evaluation and setting up a dashboard using Langfuse The post LLM Monitoring and Observability: Hands-on with Langfuse appeared first on Towards Data Science. Ahmad Talal Riaz Go to original source
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Systematic LLM Prompt Engineering Using DSPy Optimization
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…