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Navigating the Complexity of Open-Source LLMs
The chapter delves into the nuances of open-source LLMs, proposing a new naming scheme to categorize diverse model types. It emphasizes the importance of distinguishing between openly trained, permissible usage, and closed LLMs in the evolving landscape of open AI. The discussion covers challenges, historical context, regulatory implications, bio-risk debates, and the strategic positioning of key players like Mistral AI in the open-source AI ecosystem.