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      Cutting-edge Chinese “reasoning” model rivals OpenAI o1—and it’s free to download

      news.movim.eu / ArsTechnica • 21 January 2025

    On Monday, Chinese AI lab DeepSeek released its new R1 model family under an open MIT license , with its largest version containing 671 billion parameters. The company claims the model performs at levels comparable to OpenAI's o1 simulated reasoning (SR) model on several math and coding benchmarks.

    Alongside the release of the main DeepSeek-R1-Zero and DeepSeek-R1 models, DeepSeek published six smaller "DeepSeek-R1-Distill" versions ranging from 1.5 billion to 70 billion parameters. These distilled models are based on existing open source architectures like Qwen and Llama, trained using data generated from the full R1 model. The smallest version can run on a laptop, while the full model requires far more substantial computing resources.

    The releases immediately caught the attention of the AI community because most existing open-weights models—which can often be run and fine-tuned on local hardware—have lagged behind proprietary models like OpenAI's o1 in so-called reasoning benchmarks. Having these capabilities available in an MIT-licensed model that anyone can study, modify, or use commercially potentially marks a shift in what's possible with publicly available AI models.

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    • tagai tagai tagai tagbiz & it tagbiz & it tagbiz & it tagai censorship tagai censorship tagai censorship tagai reasoning tagai reasoning tagai reasoning tagchina tagchina tagchina tagchinese ai tagchinese ai tagchinese ai tagdeepseek tagdeepseek tagdeepseek tagdeepseek r1 tagdeepseek r1 tagdeepseek r1 taglarge language models taglarge language models taglarge language models tagmachine learning tagmachine learning tagmachine learning tago1 tago1 tago1 tago3 tago3 tago3 tagopenai tagopenai tagopenai tagopenai o1 tagopenai o1 tagopenai o1 tagsimulated reasoning tagsimulated reasoning tagsimulated reasoning tagsr models tagsr models tagsr models tagai tagai tagai tagbiz & it tagbiz & it tagbiz & it tagai censorship tagai censorship tagai censorship tagai reasoning tagai reasoning tagai reasoning tagchina tagchina tagchina tagchinese ai tagchinese ai tagchinese ai tagdeepseek tagdeepseek tagdeepseek tagdeepseek r1 tagdeepseek r1 tagdeepseek r1 taglarge language models taglarge language models taglarge language models tagmachine learning tagmachine learning tagmachine learning tago1 tago1 tago1 tago3 tago3 tago3 tagopenai tagopenai tagopenai tagopenai o1 tagopenai o1 tagopenai o1 tagsimulated reasoning tagsimulated reasoning tagsimulated reasoning tagsr models tagsr models tagsr models tagai tagai tagai tagbiz & it tagbiz & it tagbiz & it tagai censorship tagai censorship tagai censorship tagai reasoning tagai reasoning tagai reasoning tagchina tagchina tagchina tagchinese ai tagchinese ai tagchinese ai tagdeepseek tagdeepseek tagdeepseek tagdeepseek r1 tagdeepseek r1 tagdeepseek r1 taglarge language models taglarge language models taglarge language models tagmachine learning tagmachine learning tagmachine learning tago1 tago1 tago1 tago3 tago3 tago3 tagopenai tagopenai tagopenai tagopenai o1 tagopenai o1 tagopenai o1 tagsimulated reasoning tagsimulated reasoning tagsimulated reasoning tagsr models tagsr models tagsr models

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    • Ar chevron_right

      Cutting-edge Chinese “reasoning” model rivals OpenAI o1—and it’s free to download

      news.movim.eu / ArsTechnica • 21 January 2025

    On Monday, Chinese AI lab DeepSeek released its new R1 model family under an open MIT license , with its largest version containing 671 billion parameters. The company claims the model performs at levels comparable to OpenAI's o1 simulated reasoning (SR) model on several math and coding benchmarks.

    Alongside the release of the main DeepSeek-R1-Zero and DeepSeek-R1 models, DeepSeek published six smaller "DeepSeek-R1-Distill" versions ranging from 1.5 billion to 70 billion parameters. These distilled models are based on existing open source architectures like Qwen and Llama, trained using data generated from the full R1 model. The smallest version can run on a laptop, while the full model requires far more substantial computing resources.

    The releases immediately caught the attention of the AI community because most existing open-weights models—which can often be run and fine-tuned on local hardware—have lagged behind proprietary models like OpenAI's o1 in so-called reasoning benchmarks. Having these capabilities available in an MIT-licensed model that anyone can study, modify, or use commercially potentially marks a shift in what's possible with publicly available AI models.

    Read full article

    Comments

    • tagai tagai tagai tagbiz & it tagbiz & it tagbiz & it tagai censorship tagai censorship tagai censorship tagai reasoning tagai reasoning tagai reasoning tagchina tagchina tagchina tagchinese ai tagchinese ai tagchinese ai tagdeepseek tagdeepseek tagdeepseek tagdeepseek r1 tagdeepseek r1 tagdeepseek r1 taglarge language models taglarge language models taglarge language models tagmachine learning tagmachine learning tagmachine learning tago1 tago1 tago1 tago3 tago3 tago3 tagopenai tagopenai tagopenai tagopenai o1 tagopenai o1 tagopenai o1 tagsimulated reasoning tagsimulated reasoning tagsimulated reasoning tagsr models tagsr models tagsr models tagai tagai tagai tagbiz & it tagbiz & it tagbiz & it tagai censorship tagai censorship tagai censorship tagai reasoning tagai reasoning tagai reasoning tagchina tagchina tagchina tagchinese ai tagchinese ai tagchinese ai tagdeepseek tagdeepseek tagdeepseek tagdeepseek r1 tagdeepseek r1 tagdeepseek r1 taglarge language models taglarge language models taglarge language models tagmachine learning tagmachine learning tagmachine learning tago1 tago1 tago1 tago3 tago3 tago3 tagopenai tagopenai tagopenai tagopenai o1 tagopenai o1 tagopenai o1 tagsimulated reasoning tagsimulated reasoning tagsimulated reasoning tagsr models tagsr models tagsr models tagai tagai tagai tagbiz & it tagbiz & it tagbiz & it tagai censorship tagai censorship tagai censorship tagai reasoning tagai reasoning tagai reasoning tagchina tagchina tagchina tagchinese ai tagchinese ai tagchinese ai tagdeepseek tagdeepseek tagdeepseek tagdeepseek r1 tagdeepseek r1 tagdeepseek r1 taglarge language models taglarge language models taglarge language models tagmachine learning tagmachine learning tagmachine learning tago1 tago1 tago1 tago3 tago3 tago3 tagopenai tagopenai tagopenai tagopenai o1 tagopenai o1 tagopenai o1 tagsimulated reasoning tagsimulated reasoning tagsimulated reasoning tagsr models tagsr models tagsr models

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    • Ar chevron_right

      Cutting-edge Chinese “reasoning” model rivals OpenAI o1—and it’s free to download

      news.movim.eu / ArsTechnica • 21 January 2025

    On Monday, Chinese AI lab DeepSeek released its new R1 model family under an open MIT license , with its largest version containing 671 billion parameters. The company claims the model performs at levels comparable to OpenAI's o1 simulated reasoning (SR) model on several math and coding benchmarks.

    Alongside the release of the main DeepSeek-R1-Zero and DeepSeek-R1 models, DeepSeek published six smaller "DeepSeek-R1-Distill" versions ranging from 1.5 billion to 70 billion parameters. These distilled models are based on existing open source architectures like Qwen and Llama, trained using data generated from the full R1 model. The smallest version can run on a laptop, while the full model requires far more substantial computing resources.

    The releases immediately caught the attention of the AI community because most existing open-weights models—which can often be run and fine-tuned on local hardware—have lagged behind proprietary models like OpenAI's o1 in so-called reasoning benchmarks. Having these capabilities available in an MIT-licensed model that anyone can study, modify, or use commercially potentially marks a shift in what's possible with publicly available AI models.

    Read full article

    Comments

    • tagai tagai tagai tagbiz & it tagbiz & it tagbiz & it tagai censorship tagai censorship tagai censorship tagai reasoning tagai reasoning tagai reasoning tagchina tagchina tagchina tagchinese ai tagchinese ai tagchinese ai tagdeepseek tagdeepseek tagdeepseek tagdeepseek r1 tagdeepseek r1 tagdeepseek r1 taglarge language models taglarge language models taglarge language models tagmachine learning tagmachine learning tagmachine learning tago1 tago1 tago1 tago3 tago3 tago3 tagopenai tagopenai tagopenai tagopenai o1 tagopenai o1 tagopenai o1 tagsimulated reasoning tagsimulated reasoning tagsimulated reasoning tagsr models tagsr models tagsr models tagai tagai tagai tagbiz & it tagbiz & it tagbiz & it tagai censorship tagai censorship tagai censorship tagai reasoning tagai reasoning tagai reasoning tagchina tagchina tagchina tagchinese ai tagchinese ai tagchinese ai tagdeepseek tagdeepseek tagdeepseek tagdeepseek r1 tagdeepseek r1 tagdeepseek r1 taglarge language models taglarge language models taglarge language models tagmachine learning tagmachine learning tagmachine learning tago1 tago1 tago1 tago3 tago3 tago3 tagopenai tagopenai tagopenai tagopenai o1 tagopenai o1 tagopenai o1 tagsimulated reasoning tagsimulated reasoning tagsimulated reasoning tagsr models tagsr models tagsr models tagai tagai tagai tagbiz & it tagbiz & it tagbiz & it tagai censorship tagai censorship tagai censorship tagai reasoning tagai reasoning tagai reasoning tagchina tagchina tagchina tagchinese ai tagchinese ai tagchinese ai tagdeepseek tagdeepseek tagdeepseek tagdeepseek r1 tagdeepseek r1 tagdeepseek r1 taglarge language models taglarge language models taglarge language models tagmachine learning tagmachine learning tagmachine learning tago1 tago1 tago1 tago3 tago3 tago3 tagopenai tagopenai tagopenai tagopenai o1 tagopenai o1 tagopenai o1 tagsimulated reasoning tagsimulated reasoning tagsimulated reasoning tagsr models tagsr models tagsr models

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