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14min chapter
20VC: NVIDIA vs Groq: The Future of Training vs Inference | Meta, Google, and Microsoft's Data Center Investments: Who Wins | Data, Compute, Models: The Core Bottlenecks in AI & Where Value Will Distribute with Jonathan Ross, Founder @ Groq
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
Navigating Scaling Laws in AI
This chapter explores the intricacies of scaling laws in artificial intelligence, focusing on how data quality influences model performance. It discusses the comparison of algorithms and the challenges faced by large language models, particularly in non-linear tasks. The chapter also highlights the dynamics of the AI market and the importance of efficient inference systems for startups, enriched by historical analogies and growth strategies.
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