Arcee launches The Small Language Show, first episode goes deep on Model Merging
Blog post from Arcee AI
The SLM Show is a biweekly live-streamed series focusing on Small Language Models (SLMs), hosted by Arcee CEO Mark McQuade and Mary MacCarthy. The show provides an informal exploration of SLM development, training, deployment, and maintenance, featuring discussions with top industry researchers and business leaders. Their first episode, which was well-received, introduced the concept of Model Merging, a technique that enhances machine learning models by combining their strengths, as explained by guests Charles Goddard, a Senior Research Engineer at Arcee and MergeKit founder, and machine learning scientist Maxime Labonne. Model Merging is noted for its cost-effectiveness and its ability to improve models without the need for extensive resources, allowing for decentralized experimentation. The hosts and guests also discussed the potential of Model Merging for avoiding catastrophic forgetting, the future of merging different model architectures, and its implications for AGI development. The show, accessible on platforms like LinkedIn, Twitter, and YouTube, invites ongoing viewer engagement and promises further exploration into the SLM domain.
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