AI Deep Research Models

The UCR Library serves as an information commons and intellectual center for the campus and is the focal point for research and study at UCR.

UC Riverside Library

This workshop will provide an introduction to the top AI LLM models and current AI benchmark landscape for research and learning

Orbach Science Library (Room 122) or Zoom

AI Tools SeriesAI large language models have demonstrated rapid performance progress in the last few years across reasoning, coding, and domain-specific research benchmarks — including Abstract Reasoning (ARC), Coding (SWE-Bench), and Graduate-Level Academic Disciplines (GPQA Diamond). For researchers and learners at all levels the critical question is which model best fits their specific research, learning needs, and academic disciplinary contexts. This workshop dives deep into the current AI LLM benchmark landscape, examining use cases for both academic research and learning. Participants will review recent top benchmarks against the current top global LLM models, including both Western and open-source Chinese models, exploring various models' unique affordances, strengths, and limitations. The session will be valuable for researchers at all levels — students, faculty, and staff — who want to make informed decisions about which models to integrate into their research and learning workflows. Beyond model selection, the workshop will offer practical recommendations for working with models across a range of research and learning tasks, including strategies for human/AI collaboration and obtaining strong results through cross-model meta-analysis, synthesis of research and data, and report-based and data-driven visualization.Presented by Raymond Uzwyshyn, Ph.DRaymond Uzwyshyn, Ph.D., is Director of Research and Technology Services at UCR Libraries, where he leads initiatives in data science, AI, GIS, digital scholarship, and emerging technologies. He may be contacted at raymondu@ucr.edu.All UCR community members are welcome to attend. Make sure to register with your UCR email. Zoom link will be emailed to registered participants the morning of the workshop. Participants are expected to follow and uphold <a href="https://chancellor.ucr.edu/sites/g/files/rcwecm761/files/2019-01/community.pdf" title="https://chancellor.ucr.edu/sites/g/files/rcwecm761/files/2019-01/community.pdf" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">UC Riverside's Principles of Community</a>.

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

AI Deep Research Models

More events from UC Riverside Library

Discover more events from UC Riverside Library, from Science & Tech to other experiences you might love.

AI Deep Research Models

More events from UC Riverside Library

Discover more events from UC Riverside Library, from Science & Tech to other experiences you might love.

You might also like...

Browse more events with different dates, prices, and formats to find your next great experience.