
While large language models (LLMs) are capable of synthesizing vast amounts of information, they sometimes produce inaccurate or unsubstantiated content. To mitigate this risk, tools like Azure AI’s Groundedness Detection (opens in new tab) can…
The Microsoft Applied Sciences Group incubates disruptive technologies for Microsoft’s next-gen Windows and Surface products. Many of the new experiences we bring to the market will be powered by speech, computer vision, natural language processing…
Microsoft Teams is seeking an individual who has expertise in working with Large Language models (LLMs) who has designed scalable systems using LLMs. As a Principal Applied Scientist you will need to design and build systems that allow LLMs…
In the fast-evolving world of software libraries, code generation models are struggling to keep pace. Most existing benchmarks focus on static, version-agnostic code predictions, failing to capture the true complexity of adapting to frequent updates…
On Memory Construction & Retrieval for Personalized Conversational Agents How can conversational agents better retain and retrieve past interactions for more coherent and personalized experiences? Our latest work – SeCom on Memory Construction & Retrieval…
Microsoft’s Health and Life Sciences (HLS) group is driving a healthcare revolution with AI-powered solutions like DAX, Nursing, and Radiology Copilot. These innovations empower healthcare professionals to enhance patient care, improve outcomes, boost productivity, and…
As generative AI transforms productivity across numerous use cases, its transformative power must extend beyond the English-speaking and Western-cultured world. Historically, each industrial revolution has introduced equity gaps profoundly impacting societal divides. In this fourth…
Microsoft is delighted to contribute as a lead supporter of the National AI Research Resource (NAIRR) pilot. (opens in new tab) The mission of the NAIRR pilot aligns with our commitment to broaden AI research…