428. The Future of Large Language Models, Open vs. Closed Sourced, and Why 2024 is the Year of Inference (Ashu Garg) episode artwork

EPISODE · Apr 8, 2024 · 36 MIN

428. The Future of Large Language Models, Open vs. Closed Sourced, and Why 2024 is the Year of Inference (Ashu Garg)

from The Full Ratchet (TFR): Venture Capital and Startup Investing Demystified

Ashu Garg of Foundation Capital joins Nate to discuss The Future of Large Language Models, Open vs. Closed Sourced, and Why 2024 is the Year of Inference. In this episode we cover: Venture Capital Investing Strategies and Ideal Founder Characteristics AI Model Development and Its Future AI Models for Legal Tech and Their Potential Applications Tech Giants' Positioning in the AI Shift Google's Innovation Dilemma and AI Adoption Guest Links: LinkedIn X Foundation Capital The hosts of The Full Ratchet are Nick Moran and Nate Pierotti of New Stack Ventures, a venture capital firm committed to investing in founders outside of the Bay Area. Want to keep up to date with The Full Ratchet? Follow us on social. You can learn more about New Stack Ventures by visiting our LinkedIn and Twitter. Are you a founder looking for your next investor? Visit our free tool VC-Rank and we'll send a list of potential investors right to your inbox!

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428. The Future of Large Language Models, Open vs. Closed Sourced, and Why 2024 is the Year of Inference (Ashu Garg)

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This episode was published on April 8, 2024.

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Ashu Garg of Foundation Capital joins Nate to discuss The Future of Large Language Models, Open vs. Closed Sourced, and Why 2024 is the Year of Inference. In this episode we cover: Venture Capital Investing Strategies and Ideal Founder...

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