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

20VC: The Biggest AI Leaders on What Matters More; Model Size or Data Size & Where Does The Value in AI Accrue; to Startups or to Incumbents

27 snips
Sep 15, 2023
Dive into the AI debate of model size versus data size! Experts discuss how these elements impact value creation for startups and incumbent companies. The conversation highlights the significance of diverse data sets and competitive strategies in accessing information. Discover the unique challenges faced by startups and established firms, and how agility can drive innovation in the tech landscape. Additionally, leadership insights unveil the future directions and financial strategies shaping the AI sector.
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INSIGHT

Model Size vs. Data Size

  • Model size is a bigger challenge than data size in AI.
  • Computation limits training, as larger models and longer training times increase computational needs.
INSIGHT

Model Size and Multi-Modality

  • Larger models can handle multiple modalities better.
  • Opportunities exist for smaller, specialized models based on specific tasks.
INSIGHT

Models are not Moats

  • Models themselves are not moats; the ability to learn and adapt is.
  • The focus should be on the people building the models.
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