Brian Mathews at Carnegie Mellon University has shared a series of really interesting blog posts where he uses a corpus of material derived from recent CNI meetings in a wide variety of ways. He tries to predict what topics will be featured at the next CNI meeting; He has some lovely visualizations from presentations. And he uses a ChatGPT based approach to analyze the materials and mine for insights.

This work is fascinating on several levels. Of course, because he's using the CNI materials as a case study it's of obvious interest to us at CNI, and perhaps to our broader community. It further reinforces our commitment to the value of capturing our conferences and making these materials broadly available. But it also suggests new ways to more efficiently and effectively make use of the overwhelming wealth of conference material that started to appear during the pandemic and has in many cases continued to be available. There are more recordings that any of us will ever have time to watch; more transcripts than we'll ever have time to skim.

Here are links to some of the recent posts

My Personal GPT Prototype: CNI Insights Agent — Brian Mathews

The concept of a "personal GPT" is fascinating. It enables for the curation of a customized knowledge base or a specialized collection of data and documents, allowing for interactive engagement. With the advent of word processing, our interaction with text transformed. We gained the abil

Visually representing conference presentations (examples from CNI) — Brian Mathews

I mentioned using a personal GPT to generate visual interpretations of conference talks in my CNI Insights Agent post . I played around a little more just to test the platform and thought I’d share some of the graphics. The platform struggles with spelling – so don’t read the words! But the vis

Can I use ChatGPT to predict the next CNI Meeting? — Brian Mathews

In this post I try to anticipate the Fall Meeting for CNI Library Conference using GPT and past conference talks.

Clifford Lynch Director, CNI