As large language models move from demos to deployment, many organizations are discovering that grammatical fluency and convincing responses can mask fundamental flaws. This session will tackle the gap between what sounds right and what is right—exploring why traditional metrics like BLEU or ROUGE fail to capture real-world performance. Attendees will learn how SAS is designing evaluation frameworks that measure not just accuracy, but faithfulness, consistency, safety, and domain relevance—and how they can operationalize those metrics within production workflows. We’ll look at practical examples of hallucination detection and human-in-the-loop validation. Why now? Because as LLMs increasingly drive decision-making, weak evaluation isn’t just a research issue—it’s a governance, trust, and brand-reputation issue.
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