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LLM quantization without calibration data matches SmoothQuant: DualQuant targets FP4 hardware

LLM quantization without calibration data: DualQuant from AI inference startup d-Matrix eliminates the dataset requirement ...
Phys.org

Physicists propose a second level of quantization for quantum Shannon theory

Information theory, which was developed by Claude Shannon starting in the late 1940s, deals with questions such as how quickly information can be sent over a noisy communications channel. Both the ...
BIOENGINEER

Teaching Tiny Networks: New Quantization Method Pushes 1-Bit AI Toward Full-Precision Accuracy

Researchers in South Korea have developed a progressive distillation framework called ASBQ that trains one-bit binary neural ...