Trinity: A Family of Foundation Models
Introducing Trinity: Arcee’s new family of open-weight foundation models, engineered for elite performance per parameter and cost efficiency.
In this workshop, AI Makerspace members will sit down with CTO and Head of Research Lucas Atkins to unpack how the team trained Trinity from the ground up and what it means for the future of open source AI in the US.
Join us to check it out live.
🤓 Who should attend
Engineers, Data Scientists, and ML Practitioners interested in training or customizing foundation models
Teams exploring open-weight, American-made models for enterprise use
Builders who want to understand how SLMs and mid-sized models are trained end-to-end
Speaker Bios
Lucas Atkins serves as CTO and Head of Research at Arcee AI, where he spearheaded the proprietary training stack behind Trinity, Arcee’s family of open-weight foundation models.With a long background in machine learning, Lucas has built advanced text-to-speech systems for major automotive brands, well before the recent wave of generative AI. He has also overseen training of tailored language translation systems for government use and worked with leading hardware providers to improve large-scale GPU performance for model training. He now uses that end-to-end experience to shape Arcee’s in-house models, aiming for efficient, open source & open-weight software that aim to set the standard for American made open intelligence.
Dr. Greg” Loughnane is the Co-Founder & CEO of AI Makerspace, where he is an instructor for The AI Engineering Bootcamp. Since 2021, he has built and led industry-leading Machine Learning education programs. Previously, he worked as an AI product manager, a university professor teaching AI, an AI consultant and startup advisor, and an ML researcher. He loves trail running and is based in Columbus, Ohio.
Chris “The Wiz” Alexiuk is the Co-Founder & CTO at AI Makerspace, where he is an instructor for The AI Engineering Bootcamp. During the day, he is also a Developer Advocate at NVIDIA. Previously, he was a Founding Machine Learning Engineer, Data Scientist, and ML curriculum developer and instructor. He’s a YouTube content creator whose motto is “Build, build, build!” He loves Dungeons & Dragons and is based in Toronto, Canada.
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