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One AI to Rule Them All: How to Build a Large Multimodal Model (LMM) that Handles Text, Images, and Music - Data Hub Tech Talk
Note: the session will be recorded for registrants who cannot attend at the scheduled time.
Modern transformer architectures are adept at not only understanding text, but also images, video, speech, music, and much more. We discuss how these multimodal models work under the hood, and will build and train a simple model that uses multiple input encoders and a shared semantic embedding space. Our model will learn how to jointly interpret text, images, and music.
- Date:
- Friday, December 6, 2024
- Time:
- 12:30pm - 1:30pm
- Location:
- Data Hub presentation / collaboration space
- Campus:
- University of Idaho - Moscow campus
- Presenter:
- Dr. Lucas Sheneman, Director - Research Computing and Data Services
- Categories:
- Data Hub Library Workshop
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