The AI Metadata Assistant uses a Large Language Model generative AI to process information about a library resource and suggest relevant metadata to the cataloger to help make the cataloging process quicker and more efficient. The cataloger can then review the suggested data and accept, correct or dismiss it, as well as add more complex, expert metadata and library-specific metadata. 

During this session we will do real live examples of both creating and enriching records using the AI Metadata assistant. We will also see how the AI Metadata assistant can be used in conjunction with cataloging templates and normalization processes.