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Accelerating Foundation Models Research

Engaging the broader community in reimagining computing research

新闻与深度文章

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微软研究院博客

| Rianne van den Berg, Jan Hermann, Christopher Bishop, 和 Paola Gori Giorgi

Microsoft researchers achieved a breakth…

The image shows a radar chart comparing the performance of different AI models across various metrics. The chart has a circular grid with labeled axes including VO, AS, CEc, CEe, CL, MCr, MCt, MCu, MS, QLI, QLqA, SNs, KNa, KNc, KNF, KNn, and AT. Different AI models are represented by various line styles: Babbage-002 (dotted line), Davinci-002 (dash-dotted line), GPT-3.5-Turbo (dashed line), GPT-4.0 (solid thin line), OpenAI ol-mini (solid thick line), and OpenAI o1 (solid bold line). There is a legend in the bottom left corner explaining the line styles for each model. The background transitions from blue on the left to green on the right.
微软研究院博客

| Lexin Zhou 和 Xing Xie

ADeLe, a new evaluation method, explains…

Microsoft Research Podcast | Ideas: Evelyne Viegas, Muhammed Idris, Cesar Torres
微软研究院播客

| Gretchen Huizinga, Evelyne Viegas, Muhammed Idris, 和 Cesar Torres Jr.

Innovative AI research often depends on …

Illustrated image of Jindong Wang and Steven Eujiong Whang. “Abstracts: A Microsoft Research Podcast” runs along the bottom.
微软研究院播客

| Gretchen Huizinga, Jindong Wang, 和 Steven Euijong Whang

Researcher Jindong Wang and Associate Pr…

Illustrated images of Siddharth Suri and David Holtz. “Collaborators: A Microsoft Research Podcast” runs along the bottom.
微软研究院播客

| Gretchen Huizinga, David Holtz, 和 Siddharth Suri

Researcher Siddharth Suri and professor …

新闻报道 | Microsoft

Through our Accelerating Foundation Mode…

新闻报道 | Microsoft On the Issues

As a company at the forefront of AI rese…

新闻报道 | Microsoft Source

In early 2023, Professor Alice Oh and he…

微软研究院博客

Microsoft announces the AFMR Minority Se…