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In the context of model deployment, what does 'scalability' refer to?
In the context of model deployment, what does 'scalability' refer to?
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In the context of model deployment, what does 'scalability' refer to?
The ability to handle increased load
The ability to reduce model size
The ability to improve accuracy
The ability to visualize data
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Scalability refers to the ability of the deployed model to handle increased load or demand.
Questions & Step-by-step Solutions
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Q: In the context of model deployment, what does 'scalability' refer to?
Solution:
Scalability refers to the ability of the deployed model to handle increased load or demand.
Steps: 5
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Step 1: Understand that 'model deployment' means putting a machine learning model into use so it can make predictions.
Step 2: Recognize that 'scalability' is about how well the model can manage more work or users.
Step 3: Think of scalability like a restaurant that can serve more customers when it gets busy by adding more tables or staff.
Step 4: Realize that a scalable model can handle more requests without slowing down or breaking.
Step 5: Conclude that scalability is important for ensuring the model remains effective as demand increases.
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