Beyond LLM-as-a-judge: Establishing LLM evaluations as a foundation for trustworthy agentic AI systems (opens in new tab)

Large language models and agents are rapidly transforming how organizations build software, automate workflows, and interact with data. From copilots to autonomous agents, AI-powered systems are increasingly responsible for answering questions, generating code, and supporting operational decisions. But as organizations move from experimentation to production, measuring performance reliably is no longer optional; this is where LLM evaluations become essential. As organizations move from experi...