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Open-Source vs. Closed-Source LLMs: Tradeoffs

This video explores the tradeoffs between open-source and closed-source AI models. It discusses when each approach is best suited for different tasks, such as using closed-source models like ChatGPT for tasks requiring high precision and automation, while open-source models are preferred for scalability and analytics. The video highlights how the AI landscape continues to evolve, with models improving over time.

Dan Leszkowicz: There is not a one size fits all answer for that. It depends on what you’re doing. I personally, in my way of working within Pienso, use both, but it depends on the task. We threw out some examples where closed-source, ChatGPT type agentic interface is super appropriate. I definitely use that every day, for more discriminative tasks, tasks that need to happen at scale with high precision, for automation purposes or analytics purposes. Those, we tend to gravitate towards open-source models. But it is very much a tradeoff. I expect the space to continue to leapfrog as individual models improve.

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Add to Calendar 12/8/2021 06:00 PM 12/8/2021 09:00 pm America/Massachusetts Bots and Brews with Lydonia Technologies On December 8, Kevin Scannell, Founder & CEO, Lydonia Technologies, will moderate a panel discussion about the many benefits our customers gain with RPA.
Joining Kevin are our customers:
  • James Guidry, Head – Intelligent Process Automation CoE, Acushnet Company
  • Norman Simmonds, Director, Enterprise Automation Expérience Architecture, Dell TechnologiesErin
  • Cummings, CIO, Norfolk & Dedham Group

We hope to see you at Trillium Brewing on December 8 for craft beer, great food, and a lively RPA discussion!
Trillium Brewing, 100 Royall Street, Canton, MA