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The Evolution of Computer Architecture for AI
This chapter explores how traditional CPU architecture has become insufficient for deep learning applications, highlighting the adaptation of GPUs for AI processing. It discusses the challenges and advancements in computer technology needed to support the scale and complexity of modern AI systems, such as GPT-4. Furthermore, it examines the democratization of technology through accessible AI tools, emphasizing their impact on productivity and innovation across various fields.