Is your LLM-powered app providing safe answers? Evaluate it!

When we evaluate the quality of an app, we’re making sure that it provides answers that are coherent, clear, aligned to the user’s needs, and in the case of many applications: factually accurate. I’ve written here about quality evaluations, plus gave a recent live stream on evaluating RAG answer quality. When…

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