In the news | Geeky Gadgets
Microsoft has quietly made available a new framework that enables development of large language model (LLM) applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They…
In the news | Steemit
I like to dig deep into things and cripple myself in too many research. Many of the things I look into do not make it to my articles due to various reasons. I am not going to risk being distracted…
本文转载自微软 DeepSpeed 团队官方知乎账号:zhihu.com/people/deepspeed,由微软 DeepSpeed 团队翻译自官方英文博客:Announcing the DeepSpeed4Science Initiative: Enabling large-scale scientific discovery through sophisticated AI system t...
In the news | WinBuzzer
Microsoft's AutoGen streamlines the development of multi-agent conversation systems, making agents reusable and composable. Microsoft has introduced AutoGen, a novel framework designed to streamline the orchestration, optimization, and automation of large language model (LLM) applications.
Microsoft researchers are introducing AutoGen, a framework for simplifying the orchestration, optimization, and automation of workflows for large language model (LLM) applications—potentially transforming and extending what LLMs can do.
In the news | BigTechWire
In the ever-expanding world of artificial intelligence (AI), Large Language Models (LLMs) like GPT-4 have shown enormous potential. However, the challenge lies in efficiently implementing these LLMs in complex, real-world applications. Microsoft Research’s Autogen framework aims to change that, making…
编者按:你知道吗?每年的9月23日是国际手语日,每年9月第四个星期日是国际聋人日。世界聋人联合会希望通过设立这两个国际日,提高社会对聋人群体的关注与支持以及对手语的认识,保护聋人权利。 在微软亚洲研究院也有一群人在为此努力,来自视觉计算组的研究工程师罗琳就是其中一员。她和同事们合作开发的针对手语识别与翻译的研究项目,致力于利用人工智能技术为聋听之间搭建沟通的桥梁,让聋人朋友可以使用他们自己的语言—...
In the news | Metaverse Post
Microsoft recently launched DeepSpeed4Science initiative to apply deep learning in natural sciences, including drug development and renewable energy. DeepSpeed, an open-source AI framework, aims to accelerate and scale up deep learning processes.
| Harsh Shrivastava and Urszula Chajewska
This research paper was presented at the 17th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (opens in new tab), a premier forum for advances in the theory and practice of reasoning under uncertainty. In the field…