A new report by AI software company CodeRabbit found that code generated by an AI was far more error-prone than human-written ...
Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...
Abstract: The conventional finite-control-set model predictive control (FCS-MPC) approach for controlling three-phase three-level inverters is plagued by significant ...
Abstract: Data-driven models can often be modeled based on external characteristics without the need to know the internal structure and control methods of the model. The challenge is that the ...
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