Unverified50% confidenceFactExact time
Chinchilla论文修正了预训练中计算与数据的最优比例关系
1
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50%
Confidence
Long-term
Relevance
8/25/2026
First Seen
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Related Claims
VerifiedDeepMind's Chinchilla research (2022) pointed out that optimal training should keep data volume and parameter count growing at roughly a 1:1 ratio77% similarUnverifiedThe Chinchilla law states that under a fixed compute budget, appropriately reducing model size and increasing training data volume often yields better performance.75% similarVerifiedIn 2022, DeepMind's Chinchilla paper pointed out that under the same compute budget, model size and training data volume should be scaled up proportionally.73% similarUnverified根据Chinchilla定律及其后续研究，模型性能与训练计算量之间存在幂律关系71% similar
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