GGML (Generic Graph Machine Learning) is a really useful tool for people who work with machine learning. It has a bunch of great features and improvements that make it easier to train big models and do high-performance computing on regular computer hardware.
Some of the key features of GGML are:n- It’s written in C, which means it runs efficiently and works on lots of different types of computers.n- It supports 16-bit floating-point operations, which makes it use less memory and work faster.n- It has a feature called integer quantization, which helps make models use less memory and run faster by changing the way they store and process information.
GGML is really good for two main things:n- Training big machine learning models that need a lot of computer power to work.n- Doing high-performance computing tasks for machine learning, like doing a lot of calculations really quickly.
Overall, GGML is a powerful tool that was made especially for people who work with machine learning. It has a bunch of features that make it really useful for training big models and doing high-performance computing.
