Uploaded June 2025 | Updated September 2026, 3 weeks ago
Effectively evaluate responses from your LLM-powered applications in this practical guide to running evals on your AI workflows. In this session, we demonstrate how to set up and run evaluations using LangSmith, including accuracy checks and deeper insights into hallucination rates, groundedness, and toxicity. You’ll learn how to structure your evaluation datasets, leverage domain experts for annotation, and interpret results that inform your model’s performance.
#LLM #AIEvaluation #LangSmith #RAG #AIWorkflow #GenAI #AIQuality #MachineLearning #ArtificialIntelligence #OpenAI #GPT4o #LLMops #AgenticAI #AITrends2025 #MLops
Effectively evaluate responses from your LLM-powered applications in this practical guide to running evals on your AI workflows. In this session, we demonstrate how to set up and run evaluations using LangSmith, including accuracy checks and deeper insights into hallucination rates, groundedness, and toxicity. You’ll learn how to structure your evaluation datasets, leverage domain experts for annotation, and interpret results that inform your model’s performance.
#LLM #AIEvaluation #LangSmith #RAG #AIWorkflow #GenAI #AIQuality #MachineLearning #ArtificialIntelligence #OpenAI #GPT4o #LLMops #AgenticAI #AITrends2025 #MLops
