Making trained AI models available to applications through APIs or services for making predictions. Like opening a restaurant that serves dishes created from tested recipes.
Model serving infrastructure hosts a language translation model that applications can call via API to translate text in real-time.
These services provide infrastructure and tools to deploy and manage machine learning models, enabling applications to make predictions through APIs.