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DeepSeek R1 Brings Open-Source AI Reasoning Close to GPT-4 Performance

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DeepSeek R1 is an open-source large language model that uses a Mixture of Experts (MoE) architecture combined with Reinforcement Learning from Reasoning Feedback to improve complex, multi-step reasoning. Unlike traditional models that activate all parameters for every query, R1 selectively engages only relevant expert modules, making inference faster and more efficient. On key benchmarks, R1 scores 79.4% on math, 61.2% on coding, and 74.8% on reasoning tasks, placing it competitively near closed models like GPT-4 and Claude 3.5. Because its weights are publicly available, researchers and developers can download, run, and fine-tune the model without relying on costly proprietary APIs. The release signals a narrowing gap between open-source and closed AI systems, with developers eyeing multi-modal reasoning as the next area of advancement.

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