Introduction to ggml

The article introduces ggml, a new framework designed for efficient machine learning model training and inference on resource-constrained devices. Key features include support for quantized models, optimized memory usage, and a simplified API for integration with existing workflows. This framework is significant for practitioners as it enables deployment of large language models on edge devices, enhancing accessibility and reducing latency in real-time applications.