Approach Aims to Scale AI Models by Making Them Smarter Instead of Bigger. Scaling AI models in size has hit a plateau. One possible solution is test-time compute, which dynamically allocates extra computational resources during inference – or the thinking phase – to refine answers. Test-time compute lets AI models allocate resources based on the problem’s complexity.
First seen on govinfosecurity.com
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