Showing archive results for 2026

Azure Content Understanding now supports the GPT-5.6, GPT-6, and GPT-6.1 model families, giving you more choices for document, text, speech, and video workflows. This adds to the existing set of supported models like the GPT-5 series. To help customers understand how to use this expanded set of options, we're updating our model recommendation...

Most document analysis takes one efficient pass. Learn how agentic mode gives AI a document-native harness for the hardest tasks, and when to choose it over standard mode. “Some books are to be tasted, others to be swallowed, and some few to be chewed and digested.” Francis Bacon, “Of Studies”, 1625 A.D. Francis Bacon once observed that an int...

Set up, test, evaluate, and deploy hosted agents with the generally available Microsoft Foundry extension for Azure Developer CLI, keeping agent and deployment configuration alongside your code.

Foundry Local brings agentic coding directly to developer hardware.

Plan your Microsoft Ignite November 17-20 viewing, then explore October's Copilot harness preview, GA browser automation and hosted-agent resilience, Decisions API, and SDK updates with chapter-linked Handoff demos.

A model can reason about a task. Completing that task takes more: the right context, tools, execution environment, and controls, and an agent loop that brings them together. Microsoft’s unified harness strategy brings a shared execution foundation across our agent experiences while preserving customer choice. In Microsoft Foundry, that means you c...

Learn how Azure AI Speech LLM 09-2026 improves multilingual language and locale support with improved quality and latency.

Build agents that automate tasks across public and private websites with managed browsers, native toolbox integration, Live View, and human control.

Explore September's models, Routines, Tool Search, Model Router, and Insights through one two-agent workflow that turns public releases into a Foundry developer changelog.

Learn how Azure Content Understanding grounding, field-level confidence, and calibration help teams prioritize human review and build reliable document workflows.