We track the latest AI reliability metrics to help your team build safer search and summarization tools. Our March 2026 update dives into the current FACTS benchmark data to show how top models perform in real-world scenarios
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Our March 2026 update tracks how leading LLMs handle factual accuracy. We analyzed performance across the FACTS benchmark to measure reliability in enterprise search. You can explore how recent tuning dropped hallucination rates to just 0
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We track the state of AI reliability in our March 2026 update. Our analysis uses the FACTS benchmark to measure how models handle complex factual queries. We found that top-tier models now reach a 0.7% hallucination rate on verified source material
We track how models handle facts so you can deploy them with confidence. Our March 2026 update evaluates the latest LLMs against the FACTS benchmark to measure accuracy. We found that top-tier models now achieve a hallucination rate of just 0
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We track AI reliability using our March 2026 update to help you build safer search systems. Our team audits current model performance against the Vectara hallucination benchmark to isolate real accuracy gaps