[KongchangAI]
Concepttest-time compute scaling

Test-Time Compute Scaling

A method for improving accuracy with fixed model parameters by increasing computational investment during inference, including multiple sampling with voting, extended chains of thought, and search-based decoding.

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Sep 4

Investing more computation at the inference stage (test-time compute scaling) can significantly improve model performance, and is often more cost-effective than an equivalent investment of computation at the training stage.

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