Today, we’re pleased to announce a new collaboration between Cohere and Microsoft to integrate Cohere’s latest LLM - Command R+ into the Azure AI model catalog as part of the Models as a Service (MaaS) offering. This latest addition furthers our commitment to enriching the toolkit available to Azure AI users, empowering them to create advanced, user-centric generative AI applications that prioritize security, compliance, adaptability, and scalability.
With Azure AI, we bring a comprehensive selection of frontier and open models, enabling customers to choose the models that make most sense for their solutions. We have expanded our model collection by curating our own AI models and announcing new partnerships with industry-leading generative AI model providers by 7X in the past 6 months. The Azure AI model catalog now offers more than 1,600 foundation models (LLMs and SLMs) from Databricks, Deci AI, Hugging Face, Meta, Microsoft Research, Mistral AI, NVIDIA, OpenAI, Stability AI – and now Cohere - enabling Azure customers to choose the best model for their use case.
Cohere CEO and Co-Founder Aidan Gomez, emphasized the importance of meeting customers where their data lives: "We're at a pivotal moment in AI, where collaborations between leaders like Cohere and Microsoft can truly shape the future of enterprise-grade AI. Command R+ represents not just a technological leap but a commitment to ethical, scalable, and impactful AI solutions,” he said. “The availability of Command R+ on Azure amplifies our ability to scale advanced AI capabilities to enterprises globally, ensuring that the future of AI is not only innovative but also inclusive and secure. This collaboration is a testament to our shared vision of making AI more accessible and effective for businesses worldwide."
A glimpse into Command R+
Command R+ is part of the Enterprise Generative suite of offerings from Cohere. It is highly optimized for retrieval augmented generation (RAG), balancing efficiency with accuracy to enable enterprises to move from proof of concept into production-grade AI. Command R+ is built for enterprises that plan to leverage their internal data and documents for building tailored and accurate language models. When paired with Cohere Embed and Rerank which will be available in the model catalog soon, Command R+ offers leading accuracy for advanced AI applications requiring information from documents and enterprise data sources. The model outputs come with clear citations that mitigate the risk of hallucinations and enable surfacing additional context from the source materials.
Command R+ also boasts fluency in 10 key business languages including proficiency in Asian languages such as Japanese, Korean, and Chinese. With these advantages, customers can build AI apps such as knowledge assistants, customer support chatbots, and other advanced applications that leverage proprietary data and serve diverse people, organizations, and markets across a variety of languages.
Unlocking Possibilities on Azure AI Studio
Command R+'s collaboration with tools in Azure AI Studio, such as Azure AI Content Safety, Azure AI Search, and prompt flow elevates responsible and efficient AI practices. Here are key benefits that underscore the seamless integration and robust support system offered by Command R+ in collaboration with Azure:
These features demonstrate Azure's commitment to offering an environment where enterprises can harness the full potential of AI technologies like Command R+ efficiently and responsibly, driving innovation while maintaining high standards of security and compliance.
Leading the Charge in Scalable, Intelligent Enterprise AI Systems
As we continue to expand our model catalog and forge new partnerships, our focus remains on empowering businesses worldwide to harness the transformative power of AI to build intelligent systems that understand, communicate, and innovate.
Read more about Command R+ in the Cohere blog . Go to AI Studio model catalog to get started on Command R+.
Stay tuned for more updates as we continue to push the boundaries of what’s possible in Azure AI.
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