Need to process entire codebases, lengthy legal documents, or hours of meeting transcripts in a single prompt? Kimi K3's 1 million-token context window—one of the largest available—is now deployable ...

Most AI handles one task well. The harder problem is the complex workflow that spans hours. Effective enterprise AI must be capable of managing complex workflows that require planning, adaptation, an...

When we introduced Post-Stream Refinement in public preview earlier this year, it closed the oldest trade-off in real-time speech: you could finally keep instant streaming results and get a highly ac...

When we introduced Post-Stream Refinement earlier this year, it closed the oldest gap in real-time speech: you could finally get instant streaming results and a highly accurate final transcript, with...

One of the core principles in Microsoft Foundry is giving customers flexibility to choose the right model for the right job. As we've continued to expand the Microsoft AI (MAI) model family, we've he...

An employee opens the HR agent and asks, "How much PTO do I accrue each month?" A few minutes later, someone else asks, "Where is the official code of ethics policy?" Those sound like the same proble...

Ask any enterprise team standing up Microsoft Foundry in production and you'll hear the same non-negotiable: the agent can't run on the open internet. The moment it touches proprietary data, internal...

Choosing the Right Starting Point for Enterprise AI Agents with Copilot Studio and Microsoft Foundry Enterprise AI conversations often begin with a familiar question: Should this agent be built wit...

Recurring Failure We are entrusting AI agents with an increasing range of tasks, from preparing briefs to scheduling meetings, and from filing tax returns to building and debugging production syste...

Choose the right speech and voice model in Microsoft Foundry The practical approach to selecting the right model is simple: do not ask which speech model is best. Ask what the speech system must gu...