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Microsoft LASERs away LLM inaccuracies
During the January Microsoft Research Forum, Dipendra Misra, a senior researcher at Microsoft Research Lab NYC and AI Frontiers, explained how Layer-Selective Rank Reduction (or LASER) can make large language models more accurate.
提示词专场：从调整提示改善与LLMs的沟通，到利用LLMs优化提示效果
编者按：欢迎阅读“科研上新”栏目！“科研上新”汇聚了微软亚洲研究院最新的创新成果与科研动态。在这里，你可以快速浏览研究院的亮点资讯，保持对前沿领域的敏锐嗅觉，同时也能找到先进实用的开源工具。 提示词的好坏决定了大语言模型产出内容质量的高低，而针对提示词设计和优化的研究能够提高人类与大语言模型之间的沟通体验。让我们通过今天“提示词专场”介绍的这些最新科研成果，与你一同探索更加智能化的人机交互的未来。...
Announcing recipients of the AFMR Minority Serving Institutions grant
Microsoft announces the AFMR Minority Serving Institutions grant recipients, advancing AI research focused on today’s most significant technical and societal challenges. The grant provides funding and access to Azure-hosted foundation models.
Ashley Llorens, VP and Distinguished Scientist at Microsoft Research presents closing remarks and announcements at Microsoft Research Forum, January 30, 2024.
Sameer Segal, Principal Research Software Development Engineer at Microsoft Research India, discusses Kahani, a research prototype that allows the user to create visually stunning and culturally nuanced images just by describing them in their local languages.
Shuxin Zheng presents how his team uses generative AI to solve a long-standing challenge in structural biology and molecular science—predicting equilibrium distribution for molecular systems at the Microsoft Research Forum.
Jake Hofman discusses recent research in building and evaluating AI tools for helping people make better decisions and improve their own capabilities at the Microsoft Research Forum.
Besmira Nushi summarizes timely challenges and ongoing work on evaluating and in-depth understanding of large foundation models as well as agent platforms built upon such models at the Microsoft Research Forum.
Dipendra Misra, Senior Researcher at Microsoft Research New York City and AI Frontiers lightning talk presentation at the Microsoft Research Forum.