Advanced features on TensorFlow Serving

Wei Wei, Developer Advocate at Google, shares several advanced TensorFlow Serving features (experimental). Learn how TF Serving can tend JAX models, serve non-TensorFlow models with new servables, and remotely predict RPC with distributed serving. Resources: TF Serving model server parameters → Intro to JAX: Accelerating Machine Learning research → Convert JAX models to SavedModel with jax2tf → Convert JAX models to TFLite → Creating a new kind of servable → XGBoost Serving using TF Serving (community project) → Hashmap servable reference on Github → TensorFlow servable on Github → Remote predict TensorFlow operator → Deploying Production ML Models with TensorFlow Serving playlist → Subscribe to TensorFlow → #TensorFlow #MachineLearning #ML