GGML

GGML (Generalized GPU Machine Learning) is a versatile tensor library designed for machine learning applications, aimed at empowering the development of large models and achieving high-performance computing on standard hardware. The library is specifically crafted to harness the power of graphics processing units (GPUs) for accelerated machine learning tasks. By leveraging the parallel processing capabilities of GPUs, GGML enhances the training and inference speed of machine learning models, enabling practitioners to work with complex algorithms and vast datasets more efficiently. GGML is a valuable tool for researchers, data scientists, and machine learning practitioners seeking to unlock the full potential of their machine learning workloads on commodity hardware.