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In latest months, the exceptional strides made in AI innovation have ignited a wave of transformative prospects, fascinating our collective creativeness with the promise of reshaping industries and the best way we work.
Immediately, at Microsoft Encourage, Meta and Microsoft introduced assist for the Llama 2 household of huge language fashions (LLMs) on Azure and Home windows. Llama 2 is designed to allow builders and organizations to construct generative AI-powered instruments and experiences. Meta and Microsoft share a dedication to democratizing AI and its advantages and we’re excited that Meta is taking an open method with Llama 2. We provide builders selection within the sorts of fashions they construct on, supporting open and frontier fashions and are thrilled to be Meta’s most popular associate as they launch their new model of Llama 2 to business prospects for the primary time.
Now Azure prospects can fine-tune and deploy the 7B, 13B, and 70B-parameter Llama 2 fashions simply and extra safely on Azure, the platform for essentially the most broadly adopted frontier and open fashions. As well as, Llama will likely be optimized to run regionally on Home windows. Home windows builders will be capable to use Llama by concentrating on the DirectML execution supplier by the ONNX Runtime, permitting a seamless workflow as they create generative AI experiences to their purposes.
Our rising partnership with Meta
Meta and Microsoft have been longtime companions on AI, beginning with a collaboration to combine ONNX Runtime with PyTorch to create an amazing developer expertise for PyTorch on Azure, and Meta’s selection of Azure as a strategic cloud supplier. Immediately’s announcement builds on our partnership to speed up innovation within the period of AI and additional extends Microsoft’s open mannequin ecosystem and place because the world’s supercomputing platform for AI.
Azure’s purpose-built AI supercomputing platform is uniquely designed from the power, {hardware} and software program to assist the world’s main AI organizations to construct, prepare and deploy a few of the most demanding AI workloads. The provision of the Llama 2 fashions with Azure AI permits builders to reap the benefits of Azure AI’s highly effective tooling for mannequin coaching, fine-tuning, inference, and significantly the capabilities that assist AI security.
The inclusion of the Llama 2 fashions in Home windows helps propel Home windows as the perfect place for builders to construct AI experiences tailor-made for his or her prospects’ wants and unlock their skill to construct utilizing world-class instruments like Home windows Subsystem for Linux (WSL), Home windows terminal, Microsoft Visible Studio and VS Code.
Increasing Azure AI mannequin catalog and Home windows availability
Llama 2 is the most recent addition to our rising Azure AI mannequin catalog. The mannequin catalog, at present in public preview, serves as a hub of basis fashions and empowers builders and machine studying (ML) professionals to simply uncover, consider, customise and deploy pre-built giant AI fashions at scale.
The catalog eliminates the necessity for customers to handle all infrastructure dependencies when operationalizing Llama 2. It supplies turnkey assist for mannequin fine-tuning and analysis, together with highly effective optimization methods reminiscent of DeepSpeed and ONNX Runtime, that may considerably improve the pace of mannequin fine-tuning.
Home windows builders will be capable to simply construct new experiences utilizing Llama 2 that may be accessed through GitHub Repo. With Home windows Subsystem for Linux and extremely succesful GPUs, builders can positive tune LLMs to satisfy their particular wants proper on their Home windows PCs.
Constructing responsibly with Azure
Accountable AI is on the coronary heart of Microsoft’s method to AI and the way we associate. For years we’ve invested closely in making Azure the place for accountable, cutting-edge AI innovation, whether or not prospects are constructing their very own fashions or utilizing pre-built and customizable fashions from Microsoft, Meta, OpenAI and the open-source ecosystem.
At Microsoft, we mitigate potential dangers introduced by way of giant language fashions by an iterative, layered method that features experimentation and measurement. Azure AI prospects can take a look at Llama 2 with their very own pattern information to see the way it performs for his or her explicit use case. Then, prospects can use immediate engineering and retrieval augmented era (RAG) methods to develop, consider and optimize meta-prompts for his or her app and ship safer and extra dependable experiences for finish customers.
Providers like Azure AI Content material Security add one other layer of safety, serving to guarantee a safer on-line expertise with AI apps. A part of our collaboration with Meta led to combining Meta’s security methods with Azure AI Content material Security in order that by default, the deployments of the Llama 2 fashions in Azure AI include a layered security method.
Immediately’s growth of our mannequin catalog with Llama 2 and our partnership with Meta is an enormous step ahead in attaining a accountable, open method to AI.
Go to the Azure AI mannequin catalog and begin utilizing Llama 2 in the present day.
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