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

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

Sep 15, 2023
Richard Socher, Douwe Kiela, and Alex Lebrun discuss the importance of model size and data size in AI. They explore the impact of larger models and the significance of training data. The value accrual in AI startups is highlighted, along with the importance of feeding accurate data to language models for improved reasoning capabilities. They also discuss ML AI investments and the challenges of competing in the AI space.
31:20

Podcast summary created with Snipd AI

Quick takeaways

  • The podcast highlights the importance of training bigger models for longer periods, emphasizing that model size is the bigger challenge in AI.
  • The conversation underscores the value of training models with larger amounts of quality data, with startups having the advantage of utilizing both open and proprietary data sets.

Deep dives

The Importance of Model Size in AI

The podcast episode explores the question of whether model size or data size matters more in AI. Noam Shazir, Founder and CEO at character.ai, suggests that model size is the bigger challenge due to the amount of computation required for training. He emphasizes the importance of training bigger models for longer periods. Chris at runway ML adds that larger models have the potential to perform better in multimodal tasks. However, he also highlights the importance of specific models tailored to different tasks. This reflects the notion that there isn't a single model to rule them all. The discussion further delves into the impact of model lifespan and the role of human involvement and adaptability in model building.

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