ML+X Forum: Exploring Model Sharing in the Age of Foundation Models
Machine Learning Community Event
Event Details
Join the ML+X community on Tuesday, March 12th, from 12-1 pm, as we discuss best practices surrounding model sharing and learn about the recently released LLaVA-NeXT model — a large multimodal model (LMM) which can be used for vision+text related tasks. Register by March. 9th (lunch provided) to guarantee your lunch ticket and join the discussion!
1. Model sharing and reproducible ML, Chris Endemann
During this facilitated discussion, we will share ideas and experiences surrounding best practices in reproducible ML. We will explore questions such as: (1) Why should you share your ML model? (2) What are potential challenges, risks, or ethical concerns associated with model sharing and reproducing ML workflows? (3) How do you market or share your models in a way that ensures proper use? (4) What pieces must be well-documented to ensure reproducible and responsible model sharing?
2. LLaVA-NeXT and model sharing, Haotian Liu
We’ve been open sourcing the LLaVA-series multimodal models in the past year, and our LLaVA-series of work has inspired many creative researches and explorations based on our open-source releases. We’ll give a brief introduction of our LLaVA model and how we’ve been releasing model weights and maintaining our open-source code bases. We’ll also discuss some challenges we face on open-source release, including hosting cost, privacy, commercial license, etc.
Finding the Orchard View room: The Orchard View room is located on the 3rd floor of Discovery Building — room 3280. To get to the third floor, take the elevator located next to the Aldo’s Cafe kitchen (see photo). If you cannot attend in-person, we invite you to stream the event via Zoom: https://uwmadison.zoom.us/j/92639425571?pwd=Z0tCaWZxK0dDcWs2dm51dXZpcy9mQT09 ( Passcode: 111195).
Join the ML+X google group: The ML+X community has a google group it uses to send reminders about its upcoming events. If you aren't already a member of the google group, you can use this link to join. Note that you have to be signed into a google account to join the group. If you have any trouble joining, please email faciltator@datascience.wisc.edu
Have an ML project or project proposal you want to share with the community? Presenting at ML+X is an excellent opportunity to get feedback on your methods and connect with other ML practitioners across Madison. If interested, please fill out this google form indicating which date(s) work for your schedule. If you have any questions about presenting, please email Chris Endemann (endemann@wisc.edu).