ML Paper Reading And Discussion

Join us for our interactive paper reading session! Each session kicks off with a comprehensive summary presentation by one of our knowledgeable members, diving deep into the latest research papers and cutting-edge advancements in the field. Following the presentation, we open the floor for lively discussions, questions, and insights from everyone in the group. Whether you're a seasoned researcher, industry professional, a curious learner, or simply passionate about staying updated with the latest trends, our Paper Reading Sessions offer a collaborative environment to explore, learn, and exchange ideas.

Paper title: LORA: Low-rank Adaptation of Large Language Models

Presenter: Shahab Nabavi

Shahab is an R&D engineer at Huawei Canada. Prior to this he received his MSc in computer science from University of Manitoba. His research interests encompass few shot learning, model optimization, and multi modal learning.

Meetup Agenda:

We will meet at Nevizade Kitchen + Bar at 7 PM. First Shahab will present a summary of the paper then we will have a discussion and Q&A session.

This is going to be a great opportunity to learning latest ML advancements and network with other professionals.

Please read the paper before attending the meetup!