I am super proud of Jordan Pettyjohn, an undergraduate student I had the privilege of working with this past summer, for winning the Student Research Competition at the @Supercomputing conference! 🏆
His work studied ablation strategies for toxicity in #LLMs.
This is a thread on research our group at @UChicago recently made public on how to address the phenomenon of "memorized" data in large language models (#LLMs).
The preprint is public and a blog is available for a lighter read (see thread). Check it out! 📰#MachineLearning#AI
1/🧵New Research on Language Models!
Language models (LMs) often "memorize" data, leading to privacy risks. This paper explores ways to reduce that!
Paper: https://t.co/OBtYz9mJON
Code: https://t.co/x0C5I77CG3
Blog: https://t.co/nA6AH5rnXV
Hallucinations in GPT models are a huge problem. A lot of this relates to the trust that we extend to these models. That said, this is a relevant read and an important story to follow.
https://t.co/KDgx48BwWV
Our postdoc, Nathaniel Hudson (@Nchudson95), has been selected to participate in the 2024 CPS Rising Stars workshop at the University of Virginia. The acceptance rate was ~16%. Amazing job, Nathaniel!
https://t.co/sj15slurmy
My recent publication on QoS-aware placement and scheduling of Edge AI featured in Future Generation Computer Systems (@comp_science) is now publicly available.
From now until May 26 2024, the link below will give you access to the paper for free. 😄
https://t.co/Z1oyGQpD2i
Check out our new paper surveying modern approaches to serving Trillion Parameter models, a part of our effort to create robust AI infrastructure for AI in Science: https://t.co/NjtzXVdXQ1. Congrats @Nchudson95, Greg Pauloski, @mbaughman123, Alok Kamatar, @Mansi__S, and others!
It was great to see everyone from the @ParslProject community at ParslFest! Check out the talks from @WardLT2, @yadunand, @Nchudson95, @ValHayot, Matt, Greg and many others on the ParslFest website: https://t.co/c8KgRBLGeD
Our first RuralAI (https://t.co/BDRrRkJNuT) workshop led by Melanie Oii @waikato & Shaleeza Sohail @Uni_Newcastle international University networks are key to address global challenges. @chard_kyle@Nchudson95@auluck_nitin@_akk5. Join the conversation: https://t.co/GRQNSVykh5
Nathaniel's (@Nchudson95) WF-IoT paper, entitled “Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices”, in collaboration with members from SAGE got accepted in the main conference track at IEEE WF-IoT (https://t.co/Ond3yRm3FD)
What an enriching summer research #internship at #globus@LabsGlobus@globus! Grateful for the opportunity to learn, grow and contribute. Thanks for cherished memories with my new friends. @WardLT2@Nchudson95 A special shoutout to my mentor, Dr. Kyle Chard @chard_kyle
Thank you to all of our members for a wonderful and fun year! Also, Congratulations to all of our GSACS graduates!
Here are some pics from our final event of the academic year!
A Work-in-Progress paper on balancing federated learning trade-offs, authored by Ph.D. candidate Matt Baughman, postdoctoral scholar Nathaniel (@Nchudson95), et al., was awarded the Best WiP paper award at the 2023 @IEEEPerCom conference!
@AndrBauer1 had his paper "Efficient Data Processing: Assessing the Performance of Different Programming Languages" and another paper co-authored with @Nchudson95 "Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs" accepted to the @ICPEconf. Congrats!
Matt Baughman and @Nchudson95 had their paper "Balancing Federated Learning Trade-Offs for Heterogeneous Environments" accepted to the Work in Progress session at @IEEEPerCom. Congrats! 🎉