ONNX Runtime is a cross-platform inference engine designed to to run machine learning models in the ONNX format. It optimizes model performance across various hardware environments, including CPUs, GPUs and specialized accelerators.
Phi models are a series of Large Language Models developed to perform natural language processing tasks such as text generation, completion and comprehension.
The ONNX (Open Neural Network Exchange) format is an open-source standard designed to enable the sharing and use of machine learning models across different frameworks such as PyTorch and TensorFlow. It allows models to be exported in a unified format, making them interoperable and ensuring they can run on various platforms or hardware.