\n
With the launch of Mistral Large 2411, enterprises can:
\nFor existing users of Mistral Large, transitioning to Mistral Large 2411 ensures access to the latest advancements in AI while maintaining compatibility with Azure’s ecosystem. This proactive upgrade will enable organizations to stay ahead of the curve.
\nRevolutionizing Veterinary Care with Mars Science & Diagnostics
\nAnyone who has ever held their pet in a veterinarian’s office, anxiously awaiting test results, knows the emotional toll of every passing moment. For Mars Science & Diagnostics, a division within Mars Petcare, the mission is clear: to improve health outcomes for pets and their families through cutting-edge technology.
\nMars has leveraged the Azure AI Model Catalog and Mistral models to build its RapidRead solution, which enhances diagnostic capabilities in veterinary care. With a growing global shortage of veterinary-trained radiologists, RapidRead leverages Mistral’s AI capabilities to analyze radiological images, helping veterinarians diagnose conditions faster and more accurately.
\n\"The Azure AI catalog provides access to a wide range of pre-built models such as Mistral to help restructure data and enhance our accuracy. We know it’s accurate because nothing goes into our production systems without being validated and signed off by radiologists,\" says Mark Parkinson, Senior Director of AI Development at Mars.
\nWith RapidRead, Mars achieved:
\nThese advancements have not only saved hundreds of pet lives but have also significantly reduced diagnostic wait times, allowing pets to return home to their families faster.
\nEnhancing Healthcare Efficiency with Doctolib
\nAs one of Europe’s leading eHealth platforms, Doctolib is transforming patient care by integrating Mistral Large with Azure’s AI technologies. Their AI-powered consultation assistant transcribes and summarizes medical consultations in just 15 seconds, allowing practitioners to spend twice as much time with their patients.
\n\"Our mission is to help health professionals spend more time looking their patients in the eye rather than at their computer screen,\" explains Arthur Talpaert, Lead Product Manager at Doctolib.
\nDoctolib’s solution, built with Mistral Large, has:
\nThese real-world examples highlight the immense potential of Mistral models to address industry-specific challenges and unlock new opportunities.
\nPrerequisites:
\nCreate a deployment to obtain the inference API and key:
\nThe prerequisites and deployment steps are explained in the product documentation. You can use the API and key with various clients. Check out the samples to get started.
\nThe launch of Mistral Large 2411 is not just about introducing a new model—it’s about empowering businesses to achieve more with AI. Whether you’re in healthcare, veterinary science, finance, or any other field, Mistral Large 2411 offers the tools you need to innovate and excel. Join the growing community of enterprises leveraging the Azure AI Foundry Model Catalog to drive transformative outcomes.
\n\n
\n
\n
FAQ
\nFinetuning of these models are not supported yet but coming soon. Stay tuned!!!
\nYou are billed based on the number of prompt and completions tokens. You can review the pricing on the Mistral Large 2411 offer in the Azure Marketplace offer details tab when deploying the model. You can also find the pricing on the Azure Marketplace.
\n\n
\n
Yes, Mistral Large 2411 is “Azure benefit eligible” Marketplace offers, which indicates MACC eligibility. Learn more about MACC here: https://learn.microsoft.com/en-us/marketplace/zure-consumption-commitment-benefit
\nYes, Mistral models come with 200 K tokens per minute and 1 K requests per minute limit. Reach out to Azure customer support if this doesn’t suffice.
\n\n
Customers can use MaaS models in all Azure subsection types with a valid payment method, except for the CSP (Cloud Solution Provider) program. Free or trial Azure subscriptions are not supported.
\n\n
","body@stringLength":"12336","rawBody":"
\n
With the launch of Mistral Large 2411, enterprises can:
\nFor existing users of Mistral Large, transitioning to Mistral Large 2411 ensures access to the latest advancements in AI while maintaining compatibility with Azure’s ecosystem. This proactive upgrade will enable organizations to stay ahead of the curve.
\nRevolutionizing Veterinary Care with Mars Science & Diagnostics
\nAnyone who has ever held their pet in a veterinarian’s office, anxiously awaiting test results, knows the emotional toll of every passing moment. For Mars Science & Diagnostics, a division within Mars Petcare, the mission is clear: to improve health outcomes for pets and their families through cutting-edge technology.
\nMars has leveraged the Azure AI Model Catalog and Mistral models to build its RapidRead solution, which enhances diagnostic capabilities in veterinary care. With a growing global shortage of veterinary-trained radiologists, RapidRead leverages Mistral’s AI capabilities to analyze radiological images, helping veterinarians diagnose conditions faster and more accurately.
\n\"The Azure AI catalog provides access to a wide range of pre-built models such as Mistral to help restructure data and enhance our accuracy. We know it’s accurate because nothing goes into our production systems without being validated and signed off by radiologists,\" says Mark Parkinson, Senior Director of AI Development at Mars.
\nWith RapidRead, Mars achieved:
\nThese advancements have not only saved hundreds of pet lives but have also significantly reduced diagnostic wait times, allowing pets to return home to their families faster.
\nEnhancing Healthcare Efficiency with Doctolib
\nAs one of Europe’s leading eHealth platforms, Doctolib is transforming patient care by integrating Mistral Large with Azure’s AI technologies. Their AI-powered consultation assistant transcribes and summarizes medical consultations in just 15 seconds, allowing practitioners to spend twice as much time with their patients.
\n\"Our mission is to help health professionals spend more time looking their patients in the eye rather than at their computer screen,\" explains Arthur Talpaert, Lead Product Manager at Doctolib.
\nDoctolib’s solution, built with Mistral Large, has:
\nThese real-world examples highlight the immense potential of Mistral models to address industry-specific challenges and unlock new opportunities.
\nPrerequisites:
\nCreate a deployment to obtain the inference API and key:
\nThe prerequisites and deployment steps are explained in the product documentation. You can use the API and key with various clients. Check out the samples to get started.
\nThe launch of Mistral Large 2411 is not just about introducing a new model—it’s about empowering businesses to achieve more with AI. Whether you’re in healthcare, veterinary science, finance, or any other field, Mistral Large 2411 offers the tools you need to innovate and excel. Join the growing community of enterprises leveraging the Azure AI Foundry Model Catalog to drive transformative outcomes.
\n\n
\n
\n
FAQ
\nFinetuning of these models are not supported yet but coming soon. Stay tuned!!!
\nYou are billed based on the number of prompt and completions tokens. You can review the pricing on the Mistral Large 2411 offer in the Azure Marketplace offer details tab when deploying the model. You can also find the pricing on the Azure Marketplace.
\n\n
\n
Yes, Mistral Large 2411 is “Azure benefit eligible” Marketplace offers, which indicates MACC eligibility. Learn more about MACC here: https://learn.microsoft.com/en-us/marketplace/zure-consumption-commitment-benefit
\nYes, Mistral models come with 200 K tokens per minute and 1 K requests per minute limit. Reach out to Azure customer support if this doesn’t suffice.
\n\n
Customers can use MaaS models in all Azure subsection types with a valid payment method, except for the CSP (Cloud Solution Provider) program. Free or trial Azure subscriptions are not supported.
\n\n
","kudosSumWeight":0,"postTime":"2024-12-13T14:12:28.313-08:00","images":{"__typename":"AssociatedImageConnection","edges":[{"__typename":"AssociatedImageEdge","cursor":"MjUuM3wyLjF8b3wyNXxfTlZffDE","node":{"__ref":"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MzU3NDE0LWdzYnhMRg?revision=1\"}"}}],"totalCount":1,"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"attachments":{"__typename":"AttachmentConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[]},"tags":{"__typename":"TagConnection","pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null},"edges":[]},"timeToRead":6,"rawTeaser":"","introduction":"The Azure AI Foundry Model Catalog has been a game-changer for enterprises worldwide, enabling them to harness the power of state-of-the-art AI models tailored for their unique needs. Among the many success stories, companies like Mars Science & Diagnostics and Doctolib have shown how Azure AI models, particularly Mistral, are driving transformative outcomes in their industries. We are excited to announce the launch of Mistral Large 2411 on Azure AI Model Catalog. This advanced Large Language Model (LLM) sets a new benchmark in AI capabilities, offering unprecedented reasoning, knowledge, and coding performance.","coverImage":{"__typename":"UploadedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MzU3NDE0LWdzYnhMRg?revision=1","width":2680,"height":1200},"coverImageProperties":{"__typename":"CoverImageProperties","style":"STANDARD","titlePosition":"BOTTOM","altText":""},"currentRevision":{"__ref":"Revision:revision:4357414_1"},"latestVersion":{"__typename":"FriendlyVersion","major":"1","minor":"0"},"metrics":{"__typename":"MessageMetrics","views":1476},"visibilityScope":"PUBLIC","canonicalUrl":"","seoTitle":"","seoDescription":null,"placeholder":false,"originalMessageForPlaceholder":null,"contributors":{"__typename":"UserConnection","edges":[]},"nonCoAuthorContributors":{"__typename":"UserConnection","edges":[]},"coAuthors":{"__typename":"UserConnection","edges":[]},"blogMessagePolicies":{"__typename":"BlogMessagePolicies","canDoAuthoringActionsOnBlog":{"__typename":"PolicyResult","failureReason":{"__typename":"FailureReason","message":"error.lithium.policies.blog.action_can_do_authoring_action.accessDenied","key":"error.lithium.policies.blog.action_can_do_authoring_action.accessDenied","args":[]}}},"archivalData":null,"replies":{"__typename":"MessageConnection","edges":[],"pageInfo":{"__typename":"PageInfo","hasNextPage":false,"endCursor":null,"hasPreviousPage":false,"startCursor":null}},"customFields":[],"revisions({\"constraints\":{\"isPublished\":{\"eq\":true}},\"first\":1})":{"__typename":"RevisionConnection","totalCount":1}},"Conversation:conversation:4357414":{"__typename":"Conversation","id":"conversation:4357414","solved":false,"topic":{"__ref":"BlogTopicMessage:message:4357414"},"lastPostingActivityTime":"2024-12-13T14:12:28.313-08:00","lastPostTime":"2024-12-13T14:12:28.313-08:00","unreadReplyCount":0,"isSubscribed":false},"ModerationData:moderation_data:4357414":{"__typename":"ModerationData","id":"moderation_data:4357414","status":"APPROVED","rejectReason":null,"isReportedAbuse":false,"rejectUser":null,"rejectTime":null,"rejectActorType":null},"AssociatedImage:{\"url\":\"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MzU3NDE0LWdzYnhMRg?revision=1\"}":{"__typename":"AssociatedImage","url":"https://techcommunity.microsoft.com/t5/s/gxcuf89792/images/bS00MzU3NDE0LWdzYnhMRg?revision=1","title":"image 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