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: Brain tumors are among the deadliest diseases, leading researchers to focus on improving the accuracy of tumor classification—a critical task for prompt diagnosis and effective treatment.
Abstract: This paper compared and contrasted ant colony algorithm (ACO) and genetic algorithm (GA) application in path planning. Through experiments in environments with different complexity, two ...
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