Part 4/8:
A focal point of the researchers' study involves the concept of test time compute, which refers to the amount of computational resources allocated for thinking during the inference process. It emphasizes that the longer these models "think"—which can be achieved by increasing the computation during their prompts—the better the results. This aspect is pivotal in transitioning not just from self-supervised learning towards reinforcement learning but also in ensuring effective performance across both training and inference stages.
Discoveries: The Four Key Components
The researchers identified four critical components in the functionality of thinking models: