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801: Merged LLMs Are Smaller And More Capable, with Arcee AI's Mark McQuade and Charles Goddard
Super Data Science: ML & AI Podcast with Jon Krohn
Data is the New Gold
Data is considered valuable as it can provide a competitive edge similar to a moat. Having a proprietary model trained on internal data creates a moat, allowing for scalability and user growth. Despite the popularity of sharing data through public APIs, data remains valuable and should be kept in-house as it is likened to gold. Language models like L-L-M are just an extension of data and should not be shared externally, similar to how companies safeguard their data warehouses and lakes.
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