
Reasoning reimagined: Introducing Phi-4-mini-flash-reasoning
Unlock faster, efficient reasoning with Phi-4-mini-flash-reasoning—optimized for edge, mobile, and real-time applications.
Unlock faster, efficient reasoning with Phi-4-mini-flash-reasoning—optimized for edge, mobile, and real-time applications.
Announcing the public preview of Deep Research in Azure AI Foundry—an API and SDK-based offering of OpenAI’s advanced agentic research capability.
Defend your AI systems with Prompt Shields—a unified API that analyzes inputs to your LLM-based solution to guard against direct and indirect threats.
We’re proud to share that Microsoft has once again been named a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning (DSML) Platforms.
...languages. Today, we’re adding new partners who are integrating Immersive Reader to make content more accessible, Code.org and SAFARI Montage...” - Hadi Partovi, Founder and CEO of Code.org SAFARI Montage, a leading learning object repository, is integrating Immersive Reader to make it possible for students of any language background or accessibility...
...for Android and Mobile Safari. Also, the service-managed browsers ensure consistent and reliable results for both func...
We have architected Microsoft Discovery to be highly extensible, enabling researchers to integrate the latest Microsoft innovations with their own models, tools, and datasets as well as a wide range of partner and open-source solutions.
...and help improve MTTR. We also receive proactive notifications if a client-browser is misbehaving or throwing console errors, such as when Safari changes a specific push and replace state pattern...
...open Safari and enter the HLS version 3 URL in the address bar. Entering it in the address bar is shortcut for getting the native player to play the stream, you could also create an HTML5 page with a video tag and give it the HLS URL as its source or build a native application as well...
To help these AI agents become even more powerful and handle more complex tasks, they need state-of-the-art models, integrated tools, and built-in governance. At Microsoft Build 2025, we’re unveiling 10 innovations in Azure AI Foundry to make this possible.
Agent2Agent can enable structured agent communication—exchanging goals, managing state, invoking actions, and returning results securely and observably. Developers can use tools they know, like Semantic Kernel or LangChain, and still interoperate.
Today, we’re excited to announce two major enhancements to model fine-tuning in Azure AI Foundry—Reinforcement Fine-Tuning (RFT) with o4-mini, coming soon, and Supervised Fine-Tuning (SFT) for the 4.1-nano model, available now.