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Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback 

March 7, 2023

Large language models (LLMs), such as ChatGPT, are able to generate human-like, fluent responses for many downstream tasks, e.g., task-oriented dialog and question answering. However, applying LLMs to real-world, mission-critical applications remains challenging mainly due to their tendency to generate…

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从LLM到MLLM,多模态大规模语言模型KOSMOS-1赋予了语言模型看见世界的能力 

March 2, 2023

作者:机器之心 在 NLP 领域,大规模语言模型(LLM)已经成功地在各种自然语言任务中充当通用接口。只要我们能够将输入和输出转换为文本,就能使得基于 LLM 的接口完成一个任务。举例而言,对于摘要任务,我们能够将文档输入到语言模型,语言模型就可以生成摘要。 尽管 LLM 在 NLP 任务中取得了成功的应用,但研究人员仍努力将其原生地用于图像和音频等多模态数据。作为智能的基本组成部分,多模态感知是...

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Eyes in the sky – Planet Labs satellites track a changing globe 

March 1, 2023

“It’s helping to lift the fog of war. No longer can anyone hide.” @planet  Labs CEO  @Will4Planet on how their satellite data and AI is transforming damage assessment in #Ukraine & #Turkey, tackling food security & deforestation.

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Articles

SMART – A Generalized Pretraining Framework for Control Tasks 

February 27, 2023

We are announcing SMART, a generalized pretraining framework for a wide variety of control tasks. Self-supervised pretraining of large neural networks (BERT (opens in new tab), GPT (opens in new tab), MoCo (opens in new tab), and CLIP (opens in…

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Articles

Responsible AI Mitigations and Tracker: New open-source tools for guiding mitigations in Responsible AI 

February 27, 2023

Responsible AI Mitigations: https://github.com/microsoft/responsible-ai-toolbox-mitigations (opens in new tab) Responsible AI Tracker: https://github.com/microsoft/responsible-ai-toolbox-tracker (opens in new tab) Authors: Besmira Nushi (Principal Researcher) and Rahee Ghosh Peshawaria (Senior Program Manager) The goal of responsible AI is to create trustworthy AI systems that…

Flowchart showing how responsible AI tools are used together for targeted debugging of machine learning models: the Responsible AI Dashboard for the identification of failures; followed by the Responsible AI Dashboard and Mitigations Library for the diagnosis of failures; then the Responsible AI Mitigations Library for mitigating failures; and lastly the Responsible AI Tracker for tracking, comparing, and validating mitigation techniques from which an arrow points back to the identification phase of the cycle to indicate the repetition of the process as models and data continue to evolve during the ML lifecycle.
Microsoft Research Blog

Responsible AI: The research collaboration behind new open-source tools offered by Microsoft 

February 27, 2023

As computing and AI advancements spanning decades are enabling incredible opportunities for people and society, they’re also raising questions about responsible development and deployment. For example, the machine learning models powering AI systems may not perform the same for everyone…

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Microsoft programmable RAN platform with dynamic service models 

February 24, 2023

Virtualization of telco networks is beginning to happen in Radio Access Networks (RAN), especially regarding Open Radio Access Networks (O-RAN). However, there are some obstacles to this trend. The current O-RAN architecture limits programmability to predefined telemetry and control that…

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李琨:执著于高性能计算研究的“别人家的孩子” 

February 24, 2023

2022年4月30日,对于微软亚洲研究院研究员李琨来说是个很特殊的日子——“一夜爆火”成为学校风云人物,这让本就有些“社恐”的他花了好几天时间才习惯。原来在前一天,李琨拍摄了一段自己面试求职经验分享的 vlog,并引发了众多网友的围观。优秀的科研和项目履历让他获得了多家知名企业的 offer,同时也被网友称为“别人家的孩子”,成了校园内的“网红”。现在,这个“别人家的孩子”已经加入微软亚洲研究院,...

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分享研讨、激荡思维,微软亚洲研究院联培博士生齐聚学术嘉年华 

February 23, 2023

2 月 17 日,微软亚洲研究院首届“联合培养博士生学术嘉年华”顺利举办,微软亚洲研究院与高校联合培养的博士生们齐聚一堂,展开了一场充实丰富的学术交流活动。本次活动旨在为同学们搭建分享展示自己的科研成果、彼此交流研讨的舞台,促进不同年级、不同方向学生的学术交流与合作。在百花齐放的学术分享、激荡思维的圆桌讨论、优秀同辈间的自由交流中,同学们共同度过了难忘的一天。 微软亚洲研究院院长周礼栋为本次活动致...

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