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The University of Michigan has become the first major university to offer a custom AI platform for its entire community, offering a suite of custom Generative AI tools in collaboration with Microsoft.
“Using Generative AI for Research, a Quick User’s Guide”
Start from this guide on how Generative AI can be used in multiple aspects of your research, based on published guidelines by journals, funding agencies and professional societies, as well as our assessment of Generative AI’s benefits and risks. For information on the instructional use of Generative AI, please see U-M guidelines: Instruction in an AI-Augmented World.
A tool that provides access to popular hosted AI models such as Azure OpenAI and U-M hosted open-source large language models.
a tool that allows U-M faculty, staff, and students to enrich their GenAI experience based on a custom dataset they provide.
Designed for those who require full control over their AI environments and models.
Generative AI Guides for Researchers
Learn to quickly harness the power of generative AI in your research.
Generative AI Research Resources
This is a curated collection of Generative AI models, research papers, and other resources to help researchers start integrating Generative AI into their work.
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