AgentsMachine Learning15 min reading time

The Most Common Questions About Agent Evals, Answered

LangChain
Read the full article
LangChain's LangSmith platform addresses the challenges of testing AI agents by using agent evals that score agent runs accounting for variability in outputs and paths. It guides teams to start testing by analyzing agent traces, focusing on key behaviors, building small datasets, and running baseline experiments to improve agent performance.

More in Agents

Agents3 min read

Former Yahoo CEO Marissa Mayer Says She Used AI to Identify What’s Special About Her Daughter

Covered by 3 sources
Agents6 min read

AGNTCon + MCPCon 2026: Agentic AI Foundation Adds Four Projects as MCP Turns to Security

InfoQ (AI, ML & Data)

UnitedHealthcare Is Rolling Out Its AI Agent To 21 Million Members

Forbes