Agent Trajectory Evaluation: LLM-as-Judge vs. Jev-as-Judge
Evaluating AI Agent trajectories with two complementary approaches Why Trajectory Testing Matters When an AI agent handles a task, it doesn’t just produce one output.…
Evaluating AI Agent trajectories with two complementary approaches Why Trajectory Testing Matters When an AI agent handles a task, it doesn’t just produce one output.…
What is RAG? RAG (Retrieval-Augmented Generation) is a technique that combines information retrieval with a Large Language Model (LLM) instead of asking an LLM to…
A QA Engineer’s Guide to Testing GenAI Applications Testing software is no longer enough. In the age of generative AI, quality engineers must learn to test intelligence itself. Executive…