Chaining models, prompts, and APIs with Prompt Flow. Prompt Flow is Azure AI Studio’s tool for chaining models, ... Adding smarts to Azure data lakes with Fabric Data Agents. Apr 10, 2025 9 mins.

IDG. Azure AI Studio model benchmarks. Here we are comparing the model accuracy of four LLMs, GPT-3.5 Turbo, GPT-4 32K, Llama 2 70b, and Llama 2 70b chat, for question answering and text generation.

Azure AI Search, formerly known as Cognitive Search, is also available in Azure AI Studio. It enables effective data retrieval to improve the quality of AI responses and reduce latency.

Azure AI Studio features a Playground for prompt experimentation and a prompt flow tool for custom orchestration. It includes built-in evaluation tools to assess AI applications before production.

Three new Copilot AI offerings debuted at Ignite 2023: Copilot for Azure, Copilot for Service and Copilot in Dynamics 365 Guides.

Microsoft is today announcing a public preview for Azure AI Studio at Ignite 2023. Microsoft describes Azure AI Studio as an end-to-end platform that allows developers to build, explore, test, and ...

Azure AI Studio's tracing feature, accessible through the prompt flow SDK, aids in debugging by tracking latency, LLM errors, token usage, function calls and dependency issues. Developers can use a ...

Microsoft wants companies to build their own AI-powered "copilots" -- using tools on Azure and machine learning models from its close partner OpenAI, of course. Today at its annual Build ...

Microsoft Fabric, a data platform intended to unify all data and analytics services, now includes support for semistructured data through the preview of Azure Cosmos DB, a NoSQL and vector database.

OneLake is integrated into Azure Machine Learning and Azure AI Studio, representing a major enhancement in Azure Machine Learning's data management capabilities.