JAX is an open-source machine learning library developed by Google that provides an efficient and flexible way to write high-performance numerical code. As a key player in the rapidly evolving AI landscape, JAX is gaining traction among researchers and developers for its ability to seamlessly integrate with popular frameworks like TensorFlow and PyTorch, making it an attractive choice for building and optimizing complex machine learning models.
Stories
17 stories tagged with jax