Ggml: A Machine Learning (ml) Library Written In C And C++ With A Focus On Transformer Inference

Researchers have developed a lightweight and high-performance tensor library, ggml, to enable efficient execution of large language models on commodity hardware. The library utilizes optimized data structures and computational optimizations to minimize memory access and computational overhead, and employs quantization techniques to reduce model size and improve inference times. This makes large language models more accessible across various platforms, including CPUs, GPUs, and WebAssembly.