Hallucinations remain a primary hurdle for enterprise adoption. Our March 2026 update evaluates the latest models using the HalluHard benchmark to measure reliability. We tracked a 0
We track AI reliability with precision. Our March 2026 update analyzes hallucination rates across the industry using the rigorous FACTS benchmark. We highlight the current state of model accuracy, where top performers now maintain a 0
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We track how often models drift into fiction versus facts. Our March 2026 update dives into the latest performance shifts across the industry. We analyzed the FACTS benchmark to measure reliability in high-stakes environments
Our March 2026 update tracks how leading LLMs handle factual accuracy. We analyzed models against the FACTS benchmark to measure reliability in enterprise workflows. Our data reveals a 0
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We tracked model performance through the March 2026 update to see how well systems handle factual grounding. This page presents our latest findings using the FACTS benchmark to measure accuracy. We found that top-tier models now achieve a 0
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