How should a designer evaluate data availability for a candidate pipeline component?
Question: Answer in one to three sentences: What question about data should a designer ask when evaluating a component for a non-end-to-end pipeline?
Sample answer: The designer should ask whether data can be collected easily to train that component. This question should be applied to each component being considered.
Key points:
- Can training data be collected easily?
- The evaluation applies to each candidate component.
Rubric: The answer must mention both ease of collecting data and using that data to train the component.
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Intermediate Module Data Availability Favors Multi-Stage Pipelines
What important factor should guide component selection in a non-end-to-end pipeline?
Training-data availability matters when selecting components for a non-end-to-end pipeline.
Complete the criterion: Choose components for which training data can be collected _____.
Match each pipeline-selection term with its source-grounded meaning.
Order the reasoning process for selecting trainable pipeline components.
Explain why training-data availability belongs in pipeline component selection.
Choose between pipeline components based on their training-data availability.
How should a designer evaluate data availability for a candidate pipeline component?
Which candidate best satisfies the stated training-data criterion?
A component may be selected without considering whether its training data is easy to collect.