Who Will Thrive in a Post-AI World? The Dawn of AI w/ Matt McDonagh (WiM566)
The "What is Money?" Show
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Navigating the Trade-offs of Data Compression in AI Models
This chapter explores the intricate trade-offs in data compression for large language models, focusing on the balance between reducing size and maintaining essential data nuances. It introduces techniques like pruning and distillation aimed at achieving effective model compression without significant loss of quality.
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