Two Benefits of the ONNX Library for ML Models

Hundreds of thousands of machine learning experiments are conducted globally every single day. Machine learning engineers and students conducting those experiments use a variety of frameworks like TensorFlow, Keras, PyTorch, and others. These models form the foundation of every AI-powered product. So where and how does the ONNX library fit into Machine Learning? What is it exactly, and why did big names like Microsoft and Facebook introduce this library?