ByteDance researchers have developed FLUX, a novel AI technique that significantly reduces the size of transformer models. This is achieved by quantizing 99.5% of the model's parameters to a mere 1.58 bits.
This innovative approach promises to make large AI models more efficient and accessible. The resulting reduction in size and computational needs is a significant advancement in the field.
This allows for potentially faster processing speeds and lower energy consumption, making AI more practical for a wider range of applications.

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