http://www.semanlink.net/tag/reasoning_models_math_evals Documents tagged with Reasoning models: math evals http://www.semanlink.net/doc/2025/03/2501_19393_s1_simple_test_ti "Researchers created an open rival to OpenAI’s o1 ‘reasoning’ model for under $50" [techcrunch.com](https://techcrunch.com/2025/02/05/researchers-created-an-open-rival-to-openais-o1-reasoning-model-for-under-50/) 2025-03-03T09:04:57Z http://www.semanlink.net/doc/2025/02/diffuse_one > There is an emerging pattern of fine-tuning a small language model followed by reinforcement learning. > A reasoning model is a large language model that is trained to output both a chain of thought and a response. The chain of thought should be relatively long ( > 1,000 tokens) and the reasoning should improve its performance relative to a similar-sized non-reasoning models. This is sometimes called "test-time" or "inference-time" scaling because reasoning models emit more tokens per completion and gain some performance as a result. 2025-02-24T13:21:09Z