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AI Model Scaling: Efficiency vs. Volume
This chapter explores the contrasting approaches to AI model scaling, debating the merits of brute force versus efficiency in development. It highlights the evolution from large monolithic models to smaller, agile architectures and discusses the implications of data usage and regulatory environments on innovation. The conversation also emphasizes the importance of immediate response times in AI outputs, reflecting on the competitive landscape and the future of AI technologies.