Como depurar, avaliar e implementar agentes de IA confiáveis ​​com LangSmith

Vídeos relacionados

44:58

The Agent Development Lifecycle: Build, Test, Deploy, Monitor | Interrupt 26

37k • 2 weeks ago

55:02

How to Systematically Setup LLM Evals (Metrics, Unit Tests, LLM-as-a-Judge)

57k • 8 months ago

12:38

Stop Confusing LangChain, LangGraph, and LangSmith | Full Breakdown

71k • 2 months ago

47:12

Building Better AI Agents: Observability and Evaluation

7.3k • 3 months ago

11:10

Is RAG Still Needed? Choosing the Best Approach for LLMs

780k • 2 months ago

22:07

Langsmith LLMOPS Platform By Langchain-Debug ,Monitor And Build Production Grade LLM Application

39k • 2 years ago

54:47

Observing & Evaluating Deep Agents Webinar with LangChain

4.5k • 5 months ago

29:49

Andrej Karpathy: From Vibe Coding to Agentic Engineering w/ Stephanie Zhan

1.2m • 1 month ago

47:05

Everything Gets Rebuilt: The New AI Agent Stack | Harrison Chase, LangChain

17k • 2 months ago

20:18

Model Context Protocol (MCP), clearly explained (why it matters)

1.3m • 1 year ago

17:33

Introducing Managed Deep Agents | Interrupt 26

8.8k • 5 days ago

14:45

Observability and Evals for AI Agents: A Simple Breakdown

12k • 3 months ago