What is Nx and Machine Learning in Elixir?

Nx (Numerical Elixir) is a tensor library for Elixir that enables numerical computing and machine learning on CPUs and GPUs. It brings NumPy/PyTorch-like capabilities to Elixir. Key features: Defn compiler: functions marked with defn are compiled to efficient numerical code (EXLA for XLA/GPU, Torchx for PyTorch backend). Automatic differentiation: Nx.Defn.grad/2 computes gradients for backpropagation. Axon: neural network library built on Nx with a Keras-like API. Bumblebee: pre-trained model serving (GPT, Whisper, Stable Diffusion) in Elixir. Explorer: DataFrame library (Pandas equivalent) using Polars backend. Use cases: serving ML models in Elixir services without Python microservices, processing data with NumPy-like operations, building ML training pipelines. Nx integrates with Phoenix LiveDashboard for real-time ML monitoring and with Livebook (Jupyter equivalent for Elixir) for interactive ML notebooks.