CMU and Meta Introduce VQAScore for Evaluating AI Models
Carnegie Mellon University and Meta have developed VQAScore, a novel evaluation method for text-to-image models that significantly improves accuracy over traditional evaluation techniques. By utilizing Visual Question Answering (VQA), VQAScore assesses the performance of generative AI models more effectively, paving the way for better AI evaluation standards.
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