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Apr 18, 2025, 3:46 pm204 pts
Ars TechnicaWhen it comes to actually storing the numerical weights that power a large language model's underlying neural network, most modern AI models rely on the precision of 16- or 32-bit floating point numbers. But that level of precision can come at the cost of large memory footprints (in the hundreds of gigabytes…
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