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Information Management

Developing Generative AI Tools in Smaller Organizations

Monday, July 22, 2024

1:15pm - 2:15pm CDT

Room: Regency Ballroom B (West Tower Gold Level)

Moderator/Coordinator(s)

JB

John R. Beatty (he/him/his)

Faculty Scholarship Outreach Librarian
Charles B. Sears Law Library, University at Buffalo - School of Law
Buffalo, New York, United States

Slides (PDF)

Speaker(s)

JF

Jonathan Franklin (he/him/his)

Digital Innovation Librarian
University of Washington School of Law
Seattle, Washington, United States
Kris Jalal Martin (he/him/his)

Executive Vice President
Harbor Global
EM

Elmer R. Masters (he/him/his)

Director of Technology
Center for Computer-Assisted Legal Instruction (CALI)
Milner, Georgia, United States

Moderator(s)

SG

Swathi Ganesan

Harbor Global

Wordly Closed Captioning: https://attend.wordly.ai/join/OSME-7073

Much of the discussion around Generative AI tools revolves around large disruptive, and expensive, tools like ChatGPT-4 or the AI components to the major legal research platforms. This program is for anyone interested in developing a smaller tool for their organization. The panelists are developing tools in different contexts: academic, nonprofit, and commercial. They will address the answers to these questions: Where do I start? What free or low-cost tools are available? Am I going to need to build a data center? Can I build a data set with my organization’s data while keeping the data within the organization?

Target Audience:

Librarians who want to learn the basics of building a Generative AI tool. Librarians who want to understand the process of developing and implementing a Generative AI tool.

Learning Objectives:

Participants will describe the different types of Generative AI models.
Participants will identify freely available Generative AI models and training data sets.
Participants will describe methods for tuning and training Generative AI models to interpret and respond to legal questions in ways useful to lawyers.