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Reasoning Models in Generative AI: How the Next Generation of LLMs Can Think
The latest frontier “thinking models” can apparently begin to match the reasoning performance of humans. We will do a technical deep dive on the likely underpinnings of the latest generation of frontier reasoning models, including OpenAI’s o1 and o3. We will discuss and implement in Python a simple LLM that uses self-taught reasoning (STR) and Q-learning at both training and inference.
Using Machine Learning to Predict Patterns of Biodiversity
As the biodiversity crisis accelerates, the need arises to hasten the pace of biodiversity research.
One AI to Rule Them All: How to Build a Large Multimodal Model (LMM) that Handles Text, Images and Music
One AI to Rule Them All: How to Build a Large Multimodal Model (LMM) that Handles Text, Images and Music
Friday, December 6 2024
12:30-1:30 p.m. PT
Data Hub (Lib 107)
Statewide Generative AI Drop-In Sessions
Statewide Generative AI Drop-In Sessions
IIDS Generative AI Faculty Fellowship Presentations
IIDS Generative AI Faculty Fellowship Presentations
Thursday, December 5
12:30-1:30 p.m. PT
Buchanan Engineering Lab 205
Zoom https://uidaho.zoom.us/j/9334164361
Passcode 4505
AI + Assessment: Designing for Learning in the Age of GenAI
This is the second Idaho AI Catalyst Webinar is designed for faculty and staff in higher education who consider themselves beginners to moderate users of generative AI.
