Free lessonsEvaluating AI applications with LangSmith
Evaluating AI applications with LangSmith
9 lessons
Lesson 7 · 6 min
Running AI evaluations with LangSmith
Experiment：Connect the metrics, dataset, and evaluator in LangSmith.
Open this lesson on Bilibili大云哥讲AIBilibili seriesThe lesson is in Chinese and plays from Bilibili.
Not translated yet — showing the Chinese originals.
About the series
A nine-part path through AI application evaluation: metrics, datasets, evaluators, Agent and RAG evaluation, and a practical LangSmith workflow.
- Who it is for
- Testers and engineers building AI applications, Agents, or RAG systems who need repeatable evaluations.
- What you can do afterwards
- Build an evaluation set, choose metrics and evaluators, and run a repeatable evaluation for an LLM, Agent, or RAG application with LangSmith.
Training a whole team? It is arranged by scope. Book an evaluation