A popular technique to make AI more efficient has drawbacks
SMRTR summary
Quantization, a common technique to make AI models more efficient, may be reaching its limits. A study suggests that heavily quantized large models perform worse than smaller models trained from scratch, potentially impacting AI companies' strategies for reducing costs and improving model efficiency.
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