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Meta AI Unveils Decentralized Synthetic Data Framework: Matrix
2025-12-01 /
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Author：小编
As reported by marktechpost, in a bid to overcome the scalability challenges that have long plagued synthetic data generation for training large-scale models, researchers at Meta AI have unveiled an innovative decentralized framework named Matrix. This groundbreaking framework leverages peer-to-peer agent scheduling via Ray clusters. It achieves this by serializing both control flow and data flow into message objects, a move that effectively minimizes the bottlenecks typically associated with central schedulers. Through a series of case studies, Matrix has showcased its prowess by significantly boosting token throughput, achieving increases ranging from 2 to 15 times, all while upholding the high quality of its output.
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