Anthropic State-of-the-Art Models Available to Azure Databricks Customers
Our customers now have greater model choices with the arrival of Anthropic Claude 3.7 Sonnet in Azure Databricks. Databricks is announcing a partnership with Anthropic to integrate their state-of-the-art models into Databricks Data Intelligence Platform as a native offering, starting with Claude 3.7 Sonnet http://databricks.com/blog/anthropic-claude-37-sonnet-now-natively-available-databricks. With this announcement, Azure customers can use Claude Models directly in Azure Databricks. Foundation model REST API reference - Azure Databricks | Microsoft Learn With Anthropic models available in Azure Databricks, customers can use the Claude "think" tool with business data optimized promote to guide Claude efficiently perform complex tasks. With Claude models in Azure Databricks, enterprises can deliver domain-specific, high quality AI agents more efficiently. As an integrated component of the Azure Databricks Data Intelligence Platform, Anthropic Claude models benefit from comprehensive end-to-end governance and monitoring throughout the entire data and AI lifecycle with Unity Catalog. With Claude models, we remain committed to providing customers with model flexibility. Through the Azure Databricks Data Intelligence Platform, customers can securely connect to any model provider and select the most suitable model for their needs. They can further enhance these models with enterprise data to develop domain-specific, high-quality AI agents, supported by built-in custom evaluation governance across both data and models.Revolutionizing Data Intelligence: Azure Databricks Updates
Data Intelligence Platform in Azure Databricks is revolutionizing the Data and AI landscape. This fully managed service, which is built on Lakehouse architecture supported by Delta Lake, and is integrated with Microsoft Azure cloud capabilities, streamlines data, analytics, and AI initiatives by removing infrastructure concerns. The close partnership between Databricks and Microsoft enhances this integration, enabling users to focus on their data and AI goals and makes Azure the optimal public cloud for Databricks.Announcing Mosaic AI Vector Search General Availability in Azure Databricks
Today, at Microsoft Build, we are thrilled to announce the general availability of Mosaic AI Vector Search in Azure Databricks. Vector Search is a serverless vector database that helps customers build high-quality Generative AI applications using Retrieval Augmented Generation (RAG). With its native integration in Azure Databricks, Vector Search supports automatic data synchronization from source to index, eliminating complex and costly pipeline maintenance. It also leverages the same security and data governance tools organizations have already built for peace of mind.AI/ML ModelOps is a Journey. Get Ready with SAS® Viya® Platform on Azure
Do you want easy answers to following set of questions? Then this article is for you. How many AI/ML models do we have? Where are they stored/inventoried? When was each model updated? By whom? How? Who manages our models? Are the right models being used in production? How do we know? What effort is needed to deploy models? Who’s responsible? Are there documented processes? How long does a model take to be deployed? How old is the data it was trained on? Is the data clean and trustworthy? How are models performing? How do we compare different models for the same use case over time? Does IT work with our analytics teams to create development environments that make it possible to create models that can be easily deployed?
Private Preview of Kafka Input and Output with Azure Stream Analytics
Azure Stream Analytics now allows you to directly connect to Kafka clusters to ingest and output data. The Kafka adapters by Azure Stream Analytics are managed by Microsoft's Azure Stream Analytics team, allowing it to meet business compliance standards without managing extra infrastructure. The Kafka adapters are backward compatible and support versions starting from version 0.10 with the latest client release.
