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AI效能

  • DeepSeek R1 is an advanced, open-source AI model specializing in reasoning, math, and coding.
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    What is Deepseek R1?
    DeepSeek R1 represents a significant breakthrough in artificial intelligence, delivering top-tier performance in reasoning, mathematics, and coding tasks. Utilizing a sophisticated MoE (Mixture of Experts) architecture with 37B activated parameters and 671B total parameters, DeepSeek R1 implements advanced reinforcement learning techniques to achieve state-of-the-art benchmarks. The model offers robust performance, including 97.3% accuracy on MATH-500 and a 96.3% percentile ranking on Codeforces. Its open-source nature and cost-effective deployment options make it accessible for a wide range of applications.
    Deepseek R1 Core Features
    • Advanced reasoning capabilities
    • High mathematical accuracy
    • Superior coding performance
    • Open-source availability
    Deepseek R1 Pro & Cons

    The Cons

    No direct information about user-friendly interfaces or end-user applications.
    Limited details on ecosystem integrations beyond API and local deployment.
    No dedicated mobile or extension app links provided.

    The Pros

    Open-source with MIT license allowing commercial use and modifications.
    Highly competitive pricing, 90-95% cheaper than comparable OpenAI models.
    State-of-the-art performance in reasoning, math, and code generation tasks.
    Supports local deployment and multiple model variants for different resource needs.
    Advanced reinforcement learning features like self-verification and multi-step reasoning.
    API compatible with OpenAI endpoints, supporting long context lengths up to 128K tokens.
    Runs entirely in-browser with WebGPU support allowing offline use.
    Deepseek R1 Pricing
    Has free planNo
    Free trial details
    Pricing modelPay-as-you-go
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequencyUsage-based

    Details of Pricing Plan

    Input Tokens (Cache Hit)

    0.14 USD
    • Cost per million input tokens with cache hit

    Input Tokens (Cache Miss)

    0.55 USD
    • Cost per million input tokens with cache miss

    Output Tokens

    2.19 USD
    • Cost per million output tokens
    For the latest prices, please visit: https://deepseek-r1.com
  • Enterprise-grade toolkits for AI integration in .NET apps.
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    What is LM-Kit.NET?
    LM-Kit is a comprehensive suite of C# toolkits designed to integrate advanced AI agent solutions into .NET applications. It enables developers to create customized AI agents, develop new agents, and orchestrate multi-agent systems. With capabilities including text analysis, translation, text generation, model optimization, and more, LM-Kit supports efficient on-device inference, data security, and reduced latency. Furthermore, it is designed to enhance AI model performance while ensuring seamless integration across different platforms and hardware configurations.
  • AI model on your iPhone without internet.
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    What is MyDeviceAI?
    MyDeviceAI revolutionizes mobile AI usage by running locally on iPhone 13 Pro, 14, and later models without the need for internet. It brings you the power of artificial intelligence in a single, highly optimized model finely tuned for iPhone hardware, ensuring lightning-fast, reliable results while maintaining user privacy by keeping data entirely on the device.
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