How do I configure the TensorFlow Serving API?
An example of an AI chatbot conversation about configuring the TensorFlow Serving API.
How do I configure the TensorFlow Serving API?
To configure the TensorFlow Serving API, you need to set up a model server and specify the model's path in the configuration file.
What format should the model be in?
The model should be saved in the TensorFlow SavedModel format, which includes the model architecture and weights.
Can I serve multiple models at once?
Yes, TensorFlow Serving allows you to serve multiple models simultaneously by specifying different model names in the configuration.
How do I update a model without downtime?
You can use the versioning feature in TensorFlow Serving to update models seamlessly without downtime.
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