Beyond the Prompt: Evaluating, Testing, and Securing LLM Applications

Mete Atamel dives into smart ways to vet your LLM workflows—tracking how tiny prompt tweaks or changes in your RAG pipeline actually affect results. He spotlights handy frameworks like Vertex AI Evaluation, DeepEval, and Promptfoo to automate those measurements and keep your models honest.

On the security front, he brings in LLM Guard to shield against nasty prompt injections and harmful outputs. The big idea? Build rock-solid input/output guardrails so your LLM apps stay reliable and safe.

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