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How test-time scaling unlocks hidden reasoning abilities in small language models (and allows them to outperform LLMs)

February 22, 2025
Robot version of the Thinker


A 1B small language model can beat a 405B large language model in reasoning tasks if provided with the right test-time scaling strategy.Read More

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⟵ Together AI’s $305M bet: Reasoning models like DeepSeek-R1 are increasing, not decreasing, GPU demand
Game investments and M&A totaled $17.5B across 985 deals in 2024 | DDM ⟶

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