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New LLM developed for under $50 outperforms OpenAI’s o1-preview

  • Researchers have developed a large language model named s1-32B, which can outperform OpenAI's o1-preview at a lower cost.
  • The s1-32B model exhibits test-time scaling and is the most sample-efficient reasoning model.
  • The researchers customized Qwen2.5-32B-Instruct using a dataset containing 1,000 prompts and AI-generated answers.
  • Using a machine learning method called budget forcing, s1-32B achieved up to 27% higher scores than OpenAI's LLM in math benchmarks.

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