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
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
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…
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...
| Dongsheng Li, Dongqi Han, and Yansen Wang
Researchers and their collaborators are drawing inspiration from the brain to develop more sustainable AI models. Projects like CircuitNet and CPG-PE improve performance and energy efficiency by mimicking the brain's neural patterns.
Learn what’s next for AI at Research Forum on Sept. 3; WizardArena simulates human-annotated chatbot games; MInference speeds pre-filling for long-context LLMs via dynamic sparse attention; Reef: Fast succinct non-interactive zero-knowledge regex proofs.
作者:机器学习组 编者按:随着数据量和模型规模的增加,大语言模型在指令执行、知识存储、逻辑推理和编程技能等方面展现出了突破性的能力。然而,大语言模型在产业领域的潜能尚未得到充分挖掘,特别是在满足产业数据分析、推理、预测、决策等数据智能需求方面。如何有效地变革各行业的数据模型及智能的构建方法与应用范式,仍然面临诸多挑战。为应对这些挑战,微软亚洲研究院提出了构建产业基础模型的倡议,其核心理念在于通过持...