Which tool is commonly used for model deployment in MLOps?

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Question: Which tool is commonly used for model deployment in MLOps?

Options:

Correct Answer: TensorFlow Serving

Solution:

TensorFlow Serving is a popular tool used for deploying machine learning models in production environments.

Which tool is commonly used for model deployment in MLOps?

Which tool is commonly used for model deployment in MLOps?

Step 1: Understand what model deployment means. It is the process of making a machine learning model available for use in real-world applications.
Step 2: Learn about MLOps, which stands for Machine Learning Operations. It is a set of practices that combines machine learning and software engineering.
Step 3: Identify tools used in MLOps for deploying models. One of the popular tools is TensorFlow Serving.
Step 4: Know that TensorFlow Serving is specifically designed to serve machine learning models in production environments, making it easier to manage and scale them.

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