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Getting Started with LangSmith (5/8): Datasets & Evaluations
LangSmith - Creating Datasets for Evaluations
Get Started with LangSmith Multi-turn Evaluations
Introducing Support for Multimodal Evaluators in LangSmith
How to Debug, Evaluate, and Ship Reliable AI Agents with LangSmith
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Last Updated: September 27, 2026
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Summary
In this demo, I walk through how to create Roles product managers or subject matter experts typically have the most context on the quality and performance of an LLM ... Want to get started with freelancing? Let me help: datalumina.com/data-freelancer Need help with a project? In our quick 5-min video, see how LangChain's commercial platform helps developers improve LLM applications & agent ... Code: github.com/xuro-langchain/eli5 - Learn more about Once you have a good sense of the top usage patterns your agent is handling, you can start to drill into how each complete ... Learn the foundations for understanding, improving, and confidently deploying AI agents. Get practical steps on how to debug ... 10:29 - What You Can Measure in LangSmith 11:02 - The