DSCoV: Introduction to Efficient LLMs: Training and Deployment without Massive GPU Resources

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Presenter: Omri S. Suissa, Visiting Scientist, DSI, Conversational AI lab

Discover cutting-edge methods for efficiently training and deploying LLMs without needing an extensive GPU cluster. Facing limited GPU availability? Want to shrink an LLM to run on edge devices? Eager to optimize your training workflow so you can “train an LLM and be home by dinner”? This workshop will equip you with practical strategies to overcome these challenges.

Level: Some Experience

Required Prior Knowledge: Familiarity with training and fine-tuning transformer models; Proficiency in the Python programming language.

DSCoV (Data Science, Computation, and Visualization) workshops are lunchtime introductions to basic data science and programming skills and tools, offered by and for Brown staff, faculty, and students (with occasional presenters from outside Brown). The workshops are interactive, so bring a laptop. All are welcome, and pizza is usually served.

Data Science Institute, Brown University

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