Quantization has become a cornerstone of efficient AI workflows, enabling faster computations and reduced memory usage without significant performance degradation. At the heart of modern quantization techniques in deep learning are Just-In-Time (JIT) compilation and TorchScript, which together empower frameworks like PyTorch to optimize performance for a variety of hardware platforms. This article delves into … Continue reading JIT and TorchScript in Quantization