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Monthly Roundup: The Economic Realities of Large Language Models

The Data Exchange with Ben Lorica

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Navigating Financial Challenges in AI Development

This chapter explores the financial struggles faced by companies involved in developing large language models, including a significant projected shortfall in funding and rising training costs. It emphasizes the implications of these challenges for startups and universities, particularly in competing against tech giants, and draws parallels to historical financial hurdles in the tech industry. Additionally, the chapter highlights the competitive landscape of AI development, the impact of hardware investments, and the need for new benchmarks to evaluate model performance.

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