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MARCmin is an ChatGPT experiment by Chris Markman. Your submissions, when available, will be reviewed for quality control.

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Switching to Local LLM Setup

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This project isn't over, but I am looking at what it would take to set up the same "multi-modal insta-MARC" functionality with an offline setup. To me this seems like the more interesting use case. I think I've already proved that yes, adding the MARC21 rulebook in an RAG setup can produce better results, but what's the point if your Chatbot is basically doing a Bing search with ISBN numbers? Copy-cataloging has been around for a long time (and perhaps catalogers would be better suited creating custom GPTs based on their own local practices or integrating with a tool like MarcEdit ).  I'm also not seeing any librarians looking seriously at local LLMs as an option...c'mon, Chat with RTX  is right there! Mixtral ! Gemma ! Don't put all of your eggs in one basket!
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The 5 Laws of Library Science but for Generative AI

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Book Publishing as a "Synthetic Data" Source (with LoC as Source of Truth)

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"Your idea of using Large Language Models (LLMs) to catalog new books and then cross-referencing this with actual cataloging done by the Library of Congress is quite innovative and could have several benefits in the realm of data management and library science. Let’s explore this idea in more detail: Automated Cataloging with LLMs : LLMs can process and understand large volumes of text efficiently. They could be trained to read new books and extract key information such as titles, authors, themes, genres, and other metadata. This could significantly speed up the cataloging process. Quality and Consistency Control : By cross-referencing with the Library of Congress catalog, which is a standard in bibliographic data, you can ensure that the data generated by the LLM is accurate and consistent with established cataloging practices. Handling Large Volumes of Books: With the sheer volume of books published every year, LLMs can provide a scalable solution to catalog new books quickly a...
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