Friday, February 7, 2025

DeepSeek R1 Model on Azure AI Foundry And GitHub

DeepSeek R1 is currently accessible on GitHub and Azure AI Foundry.

DeepSeek R1 model has joined a varied portfolio of more than 1,800 models, including task-based, open-source, frontier, and industry-specific AI models, and is now accessible via the model catalogue on GitHub and Azure AI Foundry. DeepSeek R1 model is available on a dependable, scalable, and enterprise-ready platform as part of Azure AI Foundry, allowing companies to easily incorporate cutting-edge AI while fulfilling SLAs, security, and responsible AI obligations, all supported by Microsoft’s dependability and innovation.

Using Azure AI Foundry to speed up AI reasoning for developers

Rapid advancements in AI reasoning are changing how developers and businesses use state-of-the-art intelligence. As DeepSeek points out, R1 provides a strong, affordable approach that enables more users to take advantage of cutting-edge AI capabilities with little infrastructure investment.

The speed at which developers can experiment, iterate, and incorporate AI into their workflows is one of the main benefits of utilising DeepSeek R1 or any other model on Azure AI Foundry. They can grow AI-powered apps, assess performance, and compare outputs quickly with integrated model evaluation tools. This quick accessibility, which was unthinkable only a few months ago, is essential to its goal for Azure AI Foundry, which is to gather the top AI models in one location to spur innovation and open up new opportunities for businesses everywhere.

Create using reliable AI

Microsoft Azure clients rapidly develop AI applications that are ready for production while upholding the highest standards of security and safety. In order to reduce potential vulnerabilities, DeepSeek R1 model has undergone thorough security inspections and red teaming, along with automated model behaviour checks. By default, Azure AI Content Safety offers built-in content filtering, but users can choose to opt out for more freedom. Customers can also effectively evaluate their apps prior to deployment with the Safety Evaluation System. These protections enable Azure AI Foundry to offer businesses a safe, legal, and accountable environment in which to successfully implement AI technologies.

Using DeepSeek in the model catalogue

  • You can create an Azure account here if you don’t already have one.
  • Look up DeepSeek R1 model in the catalogue of models.
  • Navigate to the Azure AI Foundry model catalogue and open the model card.
  • To access the playground and acquire the inference API and key, click deploy.
  • In less than a minute, you ought to arrive at the deployment page that displays the API and key. You can use the playground to test your prompts.
  • The key and API can be used with a variety of clients.

Start now

Azure AI Foundry’s model catalogue now offers DeepSeek R1 model as a serverless endpoint. Choose the DeepSeek model to begin using Azure AI Foundry.

You can look through more resources and detailed instructions on GitHub to incorporate DeepSeek R1 into your apps with ease.

Customers will soon be able to run local versions of the DeepSeek R1 model on their Copilot+ PCs using distilled flavours.

Important Information and Themes:

  • DeepSeek R1 Availability: The main announcement is that the DeepSeek R1 model is now available on GitHub and Azure AI Foundry. This expands the model’s user base by providing choices for both locally integrated and cloud-based installations.
  • Azure AI Foundry Integration: DeepSeek R1 has joined more than 1,800 other AI models in the Azure AI Foundry model catalogue. Businesses may “seamlessly integrate advanced AI” using this platform’s “trusted, scalable, and enterprise-ready platform.” This highlights Azure’s role as a key location for accessing and deploying AI models.
  • Accessibility and Usability: The blog article highlights how developers may use DeepSeek R1 quickly and easily. This is made possible by:
    • Rapid Experimentation: “The speed at which developers can experiment, iterate, and integrate DeepSeek R1 or any other model on Azure AI Foundry is one of the main benefits.” AI into their workflows.”
    • Tools for Model Evaluation: Quick comparison, performance benchmarking, and scalability of AI applications are made possible by built-in tools.
    • Easy Deployment: The article describes a quick and easy way to get to the model’s playground and inference API in a matter of minutes.
  • Cost-Efficiency: DeepSeek R1 is marketed as a “powerful, cost-efficient model that allows more users to harness state-of-the-art AI capabilities with minimal infrastructure investment.” This implies accessibility for businesses with different financial and resource limitations.
  • Microsoft emphasises its dedication to “maintaining the highest levels of safety and security” as part of its Responsible AI Focus. This comprises:
    • Strict Red Teaming: DeepSeek R1 model has passed stringent safety and red teaming tests.
    • Automated Evaluations: Model behaviour evaluations have been carried out.
    • Comprehensive Security Evaluations: Possible hazards have been reduced.
    • Azure AI Content Safety: By default, built-in content filtering is activated, however users can choose not to use it.
    • Safety Evaluation System: Prior to launch, users can test their apps.
  • GitHub Access: In addition to Azure, GitHub’s accessibility offers developers:
    • Extra Resources: The ability to access “additional resources and step-by-step guides” .
    • Tools for Integration: Assistance in incorporating DeepSeek R1 model into their programs.
  • Plans for the Future: In order to increase its accessibility and reach, the post notes that “distilled flavours of the DeepSeek R1 model” will soon be accessible for local use on Copilot+ PCs.
Drakshi
Drakshi
Since June 2023, Drakshi has been writing articles of Artificial Intelligence for govindhtech. She was a postgraduate in business administration. She was an enthusiast of Artificial Intelligence.
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