Access to information is considered a human right by many global organizations and governments. But even though at least 71 countries mandate the provision of services in sign language, most information resources (like search engines or news sites) are presented in written language only. Sign languages are the primary means of communication for about 70 million d/Deaf people worldwide, and are also used by hearing family members, friends, and colleagues. While over 300 sign  

This research is being presented at the Agami Summit 2023 (opens in new tab), an annual forum in Maharashtra, India, for innovation in the field of law and justice.

Today, we published an exploration of the power of prompting strategies that demonstrates how the generalist GPT-4 model can perform as a specialist on medical challenge problem benchmarks. The study shows GPT-4’s ability to outperform a leading model that was fine-tuned specifically for medical applications, on the same benchmarks and by a significant margin. These results are among other recent studies that show how prompting strategies  

This research paper is being presented at the 2023 Conference on Empirical Methods in Natural Language Processing (opens in new tab) (EMNLP 2023), the premier conference on natural language processing and artificial intelligence. In recent years, AI has been increasingly integrated into healthcare, bringing about new areas of focus and priority, such as diagnostics, treatment planning, patient engagement. While AI’s contribution in certain fields like image analysis and  

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. NEW RESEARCH PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant Transformation Dynamic sparsity is a technique used in machine learning to reduce computational and memory requirements while maintaining or improving performance. This can be particularly useful when computational resources are limited, such as  

A few months ago, we introduced Orca, a 13-billion language model that demonstrated strong reasoning abilities by imitating the step-by-step reasoning traces of more capable LLMs. Orca 2 is the latest step in our efforts to explore the capabilities of smaller LMs (on the order of 10 billion parameters or less). With Orca 2, we continue to show that improved training signals and methods can empower smaller language models to achieve enhanced reasoning abilities, which are typically found only in […]

Large language models (LLMs) are profoundly useful for a vast array of difficult tasks. But they sometimes make unpredictable  

ZOË HITZIG: Great to be here.  HUIZINGA: Shrey, let’s start out with you. What problem does this research address, what made you care about it, and why should we care about it, too?  JAIN: Yeah, so right now, there’s a lot of discussion as towards what the impacts of generative AI is on communication, and there’s been a lot of different terms being thrown around amongst AI policy researchers or news organizations, such as disinformation, misinformation, copyright, fair use, social […]