Session

The Good, The Bad, and The Ugly: The Current State of Open Source Large Language Models

In this presentation we will embark on a comprehensive exploration of open-source Large Language Models, contrasting them with their commercial counterparts. This presentation will investigate the compelling motivations for opting for an open-source LLM, underscoring the inherent advantages, possible risks, and distinct challenges associated with such a choice. By examining and showcasing examples from recent releases, we will present a detailed comparison of the landscape of open-source versus commercial LLMs. Participants will acquire a deeper understanding of this evolving domain, enabling them to navigate the shifting terrain of artificial intelligence with informed insight. Join us for a session designed to clarify the complexities and highlight the innovations within the sphere of open-source LLMs.

Justin Grammens

Founder + CEO, Lab 651

Saint Paul, Minnesota, United States

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