In the news | OpenAI
Democratic Inputs to AI
Our nonprofit organization, OpenAI, Inc., is launching a program to award ten $100,000 grants to fund experiments in setting up a democratic process for deciding what rules AI systems should follow, within the bounds defined by the law.
Research Focus: Week of May 22, 2023
In this edition: New research explores the causal ability of LLMs and DNA storage in thermoresponsive capsules; a talk on human-centered AI; and a CFP for funding for LLM productivity research projects from the Microsoft New Future of Work Initiative.
编者按：Microsoft Editor 是一款人工智能写作辅助工具，其中的语法检查器（grammar checker）功能不仅可以帮助不同水平、领域的用户在写作过程中检查语法错误，还可以对错误进行解释并给出正确的修改建议。神经语法检查器模型是这款提供了强大拼写检查和语法纠正服务的 Microsoft Editor 背后的关键技术，该模型采用了微软亚洲研究院创新的 Aggressive Decod...
In the news | Debug Object Detection Models with the Responsible AI Dashboard
New RAI Dashboard capabilities announced at Microsoft Build 2023
At Microsoft Build 2023, we announced support for text and image data in the Azure Machine Learning responsible AI dashboard in preview. This blog will focus on the dashboard’s new vision insights capabilities, supporting debugging capabilities for object detection models.
By Chong Luo, Principal Researcher Dense prediction tasks constitute a fundamental type of computer vision problems, where the goal is to learn a mapping from an input image to a pixel-wise annotated label. Some examples of dense prediction tasks include…
REACT — A synergistic cloud-edge fusion architecture
| Srinivasan Iyengar and Venkat Padmanabhan
This research paper was accepted by the eighth ACM/IEEE Conference on Internet of Things Design and Implementation (opens in new tab) (IoTDI), which is a premier venue on IoT. The paper describes a framework that leverages cloud resources to execute large…
Achieving Zero-COGS with Microsoft Editor Neural Grammar Checker
| Tao Ge, Ting Cao, Si-Qing Chen, and Qiong(Emma) Ning
Microsoft Editor provides AI-powered writing assistance to millions of users around the world. One of its features that writers of all levels and domains rely on is the grammar checker, which detects grammar errors in a user's writing and offers…
LLM Accelerator：使用参考文本无损加速大语言模型推理
作者：杨南 编者按：如今，基础大模型正在诸多应用中发挥着日益重要的作用。大多数大语言模型的训练都是采取自回归的方式进行生成，虽然自回归模型生成的文本质量有所保证，但却导致了高昂的推理成本和长时间的延迟。由于大模型的参数量巨大、推理成本高，因此如何在大规模部署大模型的过程中降低成本、减小延迟是一个关键课题。针对此问题，微软亚洲研究院的研究员们提出了一种使用参考文本无损加速大语言模型推理的方法 LLM...
Large-language models for automatic cloud incident management
| Rujia Wang, Chetan Bansal, Supriyo GHOSH, Tom Zimmermann, Xuchao Zhang, and Saravan Rajmohan
This research was accepted by the IEEE/ACM International Conference on Software Engineering (ICSE) (opens in new tab), which is a forum for researchers, practitioners, and educators to gather, present, and discuss the most recent innovations, trends, experiences, and issues in…