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Neetigya Chahar
Neetigya Chahar

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DeepSeek is now available on Microsoft Azure 🌚

DeepSeek R1, a cutting-edge open-source AI model renowned for its advanced reasoning capabilities, is now accessible through Microsoft's Azure AI Foundry and GitHub. This integration offers developers a robust tool for tasks requiring complex problem-solving, such as mathematics, coding, and analytical reasoning.

About DeepSeek R1

Developed by the Chinese AI startup DeepSeek, the R1 model has garnered attention for its exceptional performance across various benchmarks. Notably, it achieved a 79.8% score on the AIME 2024 mathematics tests and a 97.3% accuracy on MATH-500, underscoring its proficiency in mathematical reasoning. Additionally, with a 2,029 rating on Codeforces, it outperformed 96.3% of human programmers, highlighting its coding capabilities. (github.com)

Accessing DeepSeek R1 on Azure AI Foundry

Azure AI Foundry serves as a platform for developers to explore and deploy advanced AI models. With the inclusion of DeepSeek R1, users can seamlessly integrate this model into their applications. To get started:

  1. Navigate to Azure AI Foundry: Visit the Azure AI Foundry platform.

  2. Select DeepSeek R1: Browse the available models and select DeepSeek R1 to view its details and deployment options.

  3. Deploy the Model: Follow the provided guidelines to deploy DeepSeek R1 within your Azure environment, tailoring it to your specific application needs.

Utilizing DeepSeek R1 via GitHub

For developers interested in a more hands-on approach, DeepSeek R1's open-source code is available on GitHub:

  1. Access the Repository: Visit the DeepSeek R1 GitHub repository to explore the model's codebase.

  2. Clone the Repository: Use Git to clone the repository to your local machine:

   git clone https://github.com/deepseek-ai/DeepSeek-R1.git
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  1. Set Up the Environment: Follow the instructions in the repository to set up the necessary environment and dependencies.

  2. Integrate and Customize: Leverage the model's capabilities by integrating it into your projects, customizing it as needed to suit your application's requirements.

Benefits of Integration

Incorporating DeepSeek R1 into your applications offers several advantages:

  • Enhanced Problem-Solving: The model's advanced reasoning abilities can improve the efficiency and effectiveness of tasks involving complex problem-solving.

  • Open-Source Flexibility: Being open-source, DeepSeek R1 allows for customization and adaptation to fit specific project needs.

  • Scalability with Azure: Deploying the model through Azure AI Foundry ensures scalability and robust performance, accommodating varying workloads.

The availability of DeepSeek R1 on both Azure AI Foundry and GitHub empowers developers to harness advanced AI capabilities, fostering innovation across diverse applications.

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