Ggml / Ml Tensor Library
As of now, the term “Ggml / Ml Tensor Library” doesn’t seem to exist or isn’t commonly used in the field of machine learning, artificial intelligence, or technology. It could be that the term has been misspelled or misrepresented. However, there are other popular tensor libraries used in machine learning like TensorFlow, PyTorch, etc. Thus, it is recommended to look up the exact term used in order to provide an accurate definition. It might be a mix up in the terms GGML (a developer software) and ML (Machine Learning) Tensor Library (a resource used in machine learning).
Areas of application
- Data Analysis
- Cloud Technology
- Algorithms Design
- Healthcare
- Finance
- Robotics
- Speech Recognition
Example
GGML can be used to accelerate the training of deep neural networks for image classification tasks, by leveraging the flexibility and performance of the library’s tensor operations. By quantizing the weights and activations of the network using 8-bit integer representation, the memory footprint can be significantly reduced, resulting in faster training times on commodity hardware.