Hear talks from experts on cutting-edge topics in AI, ML, and computer vision on July 16

This session focuses on practical techniques for using small open-source language models (SLMs) in enterprise settings. We'll explore modern workflows for adapting SLMs with domain-specific pre-training, instruction fine-tuning, and alignment. Along the way, we will introduce and demonstrate open-source tools such as DistillKit, Spectrum, and MergeKit, which implement advanced techniques crucial for achieving task-specific accuracy while optimizing computational costs. We'll also discuss some of the models and solutions built by Arcee AI. Join us to learn how small, efficient, and adaptable models can transform your AI applications.

This talk explores how to make AI faster and more sustainable. We’ll look at the high costs and carbon impact of fine-tuning and self deploying models, and show how optimization techniques available in the Pruna library can reduce size and latency with little to no quality loss.

We’ll examine conceptual frameworks, potential applications, and future directions of technologies that can “see” and “act” with increasing independence. The discussion will touch on both current limitations and promising horizons in this evolving field.