This talk discusses Aurora, a cutting-edge foundation model that offers a new approach to weather forecasting that could transform our ability to predict and mitigate the impacts of extreme events, air pollution, and the changing climate.
Direct Nash Optimization: Teaching language models to self-improve with general preferences
This talk discusses teaching language models to self-improve using a preference oracle like GPT-4, framing it as a two-player game to find an optimal policy at a Nash equilibrium, and achieving state-of-the-art win rates against GPT-4 Turbo on benchmarks such…
This talk discusses a new kind of computer—an analog optical computer—that has the potential to accelerate AI inference and hard optimization workloads by 100x, leveraging hardware-software co-design to improve the efficiency and sustainability of real-world applications.
Panel Discussion: Beyond Language: The future of multimodal models in healthcare, gaming, and AI
Microsoft researchers John Langford, Hoifung Poon, Katja Hofmann, and Jianwei Yang share their thoughts on future directions, bridging gaps, and fostering synergies within the field.
This talk introduces Phi-3-Vision, an advanced and economical open-source multimodal model. As a member of the Phi-3 model family, Phi-3-Vision enhances language models by integrating multisensory skills, seamlessly combining language and vision capabilities.
In this episode, learn about the latest multimodal AI models, advanced benchmarks for AI evaluation and model self-improvement, and an entirely new kind of computer for AI inference and hard optimization. Discover how these research breakthroughs and more can help…
In the news | Microsoft Stories
Protecting the Amazon from deforestation with Microsoft AI
Project Guacamaya is fighting deforestation by monitoring the Amazon rainforest with Microsoft AI. Researchers are studying daily satellite images, observing animal behavior with hidden cameras, and listening to forest sounds with tiny microphones. AI processes this data faster than ever…
In the news | The AI in Business Podcast
Channeling Enterprise AI ‘for Good’ in Responsible Data and Workflows – Juan Lavista Ferres
Today’s guest is Juan Lavista Ferres, Microsoft Chief Data Scientist and Corporate Vice President. Juan joins us on today’s program to talk about his new book AI for Good, which showcases his philosophy in driving AI capabilities toward altruistic and…
代码摘要、生成、翻译、修复全覆盖… WaveCoder开启代码智能新篇章
作者：工程与基础架构组 编者按：代码大语言模型（Code LLMs）作为大语言模型与编程领域结合的产物，可以通过自动生成和补全代码帮助开发者快速实现功能。但目前针对代码大语言模型的指令微调方法主要集中在传统的代码生成任务上，忽略了模型在处理复杂多任务场景中的表现。为此，来自微软亚洲研究院的研究员们开发了 WaveCoder 模型，其使用包含19,915个指令、涵盖4个代码任务的数据集 CodeSe...