This International Fact-Checking Day, use these 5 tips to spot AI-generated content - Fast Company
This International Fact-Checking Day, use these 5 tips to spot AI-generated content Fast Company
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Towards Robustness: A Critique of Current Vector Database Assessments
arXiv:2507.00379v2 Announce Type: replace Abstract: Vector databases are critical infrastructure in AI systems, and average recall is the dominant metric for their evaluation. Both users and researchers rely on it to choose and optimize their systems. We show that relying on average recall is problematic. It hides variability across queries, allowing systems with strong mean performance to underperform significantly on hard queries. These tail cases confuse users and can lead to failure in downstream applications such as RAG. We argue that robustness consistently achieving acceptable recall across queries is crucial to vector database evaluation. We propose Robustness-$\delta$@K, a new metric that captures the fraction of queries with recall above a threshold $\delta$. This metric offers a
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