Orca

2024年11月14日 | Arindam Mitra, Ahmed Awadallah, 和 Yash Lara

Orca-AgentInstruct, from Microsoft Research, can generate diverse, high-quality synthetic data at scale to post-train and fine-tune base LLMs for expanded capabilities, continual learning, and increased performance.

2024年7月18日 | Gretchen Huizinga 和 Arindam Mitra

Senior Researcher Arindam Mitra introduces AgentInstruct. Using raw data sources, the automated multi-agent framework can create diverse, high-quality synthetic data at scale for the post-training of small and large language models.

2024年3月5日 | Arindam Mitra, Hamed Khanpour, Corby Rosset, 和 Ahmed Awadallah

Microsoft’s Orca-Math, a specialized small language model, outperforms much larger models in solving math problems that require multi-step reasoning and shows the potential of using feedback to improve language models. Learn more.

2023年12月22日

AI saw unparalleled growth in 2023, reaching millions daily. This progress owes much to the extensive work of Microsoft researchers and collaborators. In this review, learn about the advances in 2023, which set the stage for further progress in 2024.

2023年11月20日 | Ahmed Awadallah, Andres Codas, Luciano Del Corro, Hamed Khanpour, Shweti Mahajan, Arindam Mitra, Hamid Palangi, Corby Rosset, Clarisse Simoes Ribeiro, 和 Guoqing Zheng

At Microsoft, we’re expanding AI capabilities by training small language models to achieve the kind of enhanced reasoning and comprehension typically found only in much larger models.