Large language models (LLMs) show excellent performance but are compute- and memory-intensive. Quantization can reduce memory and accelerate inference. However, for LLMs beyond 100 billion parameters, ...

Abstract: This paper intends to create a deep-learning architecture for training models over various defective tyre images until it has achieved intelligence to distinctly classify multi-class tyre ...