Inference-time scaling
Inference-time scaling (also called test-time compute scaling) is the practice of improving an AI model's output quality by allocating more computational resources during inference rather than during training.
Reasoning Models
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Mathematical reasoning in AI
Mathematical reasoning in AI is the ability of computer systems to solve mathematical problems: carrying out multi-step calculations, proving theorems, and answering competition or research questions that…