Test-Time Compute: How Scaling Reasoning at Inference Changes AI Capabilities
For a long period of time, the main source of progress in AI was associated with a single approach: model scaling. Increasing the number of parameters in a model, providing the model with more training data, and increasing computational power during training became the main way to achieve more intelligent AI. However, nowadays, there is another approach that attracts enormous interest: giving...
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