The paper from Fuhan University and Shanghai AI laboratory, focuses on test-time compute, which allows models to reach PhD-level mathematics and scientific research. The key is that the model "thinks" during inference time, meaning it takes its time and uses more tokens and compute to respond to a prompt. This results in insane performance on complex tasks, such as math, science, reasoning, and logic. The paper identifies four critical elements of test-time compute are. The researchers speculate that OpenAI’s 01 model uses a combination of these four elements to achieve its impressive results. They also highlight a number of future directions for research, such as how to adapt 01 to general domains, how to introduce multi-modality to 01, and how to learn and search within a world model.
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