Microsoft has announced the integration of the Chinese AI model R1 from DeepSeek into its Azure AI Foundry and GitHub platform, allowing developers to leverage its capabilities for AI applications. The R1 model is noteworthy for its low training costs and minimal chip requirements compared to competitors like OpenAI. Significant for its rapid deployment, R1 also underwent extensive safety evaluations. The introduction of a distilled version for local use on PCs is anticipated, amid market challenges for Nvidia due to R1's cost advantages and implications for OpenAI.
One of the key advantages of using DeepSeek R1 or any other model on Azure AI Foundry is the speed at which developers can experiment, iterate, and integrate AI into their workflows.
DeepSeek R1 has undergone rigorous red teaming and safety evaluations, including automated assessments of model behavior and extensive security reviews to mitigate potential risks.
DeepSeek's R1 model has surprised Wall Street this week because it doesn't need to use as many chips from providers like Nvidia, and it's far cheaper to train.
Microsoft's security researchers detected large amounts of data being used through OpenAI developer accounts late last year, which may have been connected to DeepSeek.
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