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DeepSeek

最新のAIニュース、モデル、リリース元 DeepSeek. ['DeepSeek', 'DeepSeek 3.1', 'DeepSeek-4-pro', 'DeepSeek API', 'deepseek-coder-v2', 'DeepSeek-GRM', 'DeepSeekMath-V2', 'DeepSeekMoE', 'DeepSeek-Prover-V1.5-Base', 'DeepSeek-Prover-V2', 'DeepSeek-Prover-V2-671B', 'DeepSeek-Prover-V2-7B', 'DeepSeek R1', 'DeepSeek-R1', 'DeepSeek R1-0528', 'DeepSeek-R1-0528', 'DeepSeek-R1-671B', 'DeepSeek-R1-Distilled-Llama-70B', 'DeepSeek-R1-Distilled-Qwen-32B', 'DeepSeek-R1-Distill-Qwen-32B', 'DeepSeek-R1-Zero', 'DeepSeek R2', 'DeepSeek-R2', 'DeepSeek Sparse Attention (DSA)', 'DeepSeek-V2', 'DeepSeek V3', 'DeepSeek-V3', 'DeepSeek V3.1', 'DeepSeek V3.1-Terminus', 'DeepSeek v3.2', 'DeepSeek V3.2', 'DeepSeek-V3.2', 'DeepSeek V3.2-Exp', 'DeepSeek-V3-Base', 'DeepSeek V3/R1', 'DeepSeek v4', 'DeepSeek V4', 'DeepSeek-V4', 'deepseek-v4-flash', 'DeepSeek-V4-Flash']

研究 🇺🇸

Managing Reasoning Levels in Large Language Models

Sebastian Raschka explains how reasoning modes of varying complexity (low, medium, high) work in large language models. He discusses reinforcement learning methods with verifiable rewards, as well as mechanisms for switching between modes, including approaches used in models like DeepSeek-R1, Qwen3, and GPT-5.6.

OpenAIOpenAI DeepSeekDeepSeek Moonshot AIMoonshot AI
Sebastian Raschka27.07 · 20:04
新着ニュース