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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.
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 4505AI + Academic Integrity
This third installment in the Catalyst AI Foundations for Faculty is a supplement to the previous webinar on AI + Assessment.
AI Citation, Attribution, and Detection
Transparency in the use of AI tools in academia is a necessary and ongoing debate. This session will share ideas on suggested formats and strategies for citation and attribution of AI use. Additionally, we will discuss current guidance on the use of AI detectors, their strengths and weaknesses, and the potential impacts on faculty-student relationships.
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)
