DeepSeek R1 is an advanced AI model developed by the Chinese startup DeepSeek AI. It has gained significant attention for the following reasons:
- Open Source, available to for use by anyone.
- Comparable Performance to OpenAI's GPT-4 and ChatGPT o1 models on various benchmarks.
- DeepSeek R1 was reportedly trained on 2,788 GPUs at a cost of around $6 million, significantly less than the estimated $100 million cost to train OpenAI's GPT-4.
- Excels in reasoning tasks and has been trained using large-scale reinforcement learning without supervised fine-tuning.
- Availability on platforms like Azure AI Foundry and GitHub, making it accessible for developers and researchers.
- DeepSeek R1's open-source nature and cost-effective training have made it a notable player in the AI community, challenging the notion that larger models and more data always lead to better performance.
To get started, DeepSeek R1 is now available via a serverless endpoint through the model catalog in Azure AI Foundry.
Also, check out the GitHub Models blog post, where you can explore additional resources and step-by-step guides to integrate DeepSeek R1 seamlessly into your applications.
In addition, customers will be able to use distilled flavors of the DeepSeek R1 model to run locally on their Copilot+ PCs, as noted in the Windows Developer blog post.