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The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch cover image

20VC: Why No Models Today Will Be Used in a Year, Why Open Will Always Beat Closed in AI, Why Proprietary Data is Less Important Than Ever And Why EU AI Regulation is a Disaster with Alex Lebrun, Founder & CEO @ Nabla

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

NOTE

The Importance of National Data Sets in Machine Learning

An open model can be just as hard to predict as a closed model/nNational data sets might not be feasible or necessary, industry-specific ones can improve model quality/nFeeding an LLM with trusted data doesn't guarantee perfect or trustworthy output/nHigh quality trusted data does not necessarily lead to high quality output, as LLM works in a complex way

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