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Deep-dive questions on neural networks, LLMs, Transformer architectures, loss functions, and MLOps deployment.
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A classifier that always predicts legitimate already achieves 99% accuracy, so inspect the confusion matrix, fraud-class precision and recall, and precision-recall behavior across thresholds. Estimate...
Leakage occurs when training or evaluation uses information that would not be available at prediction time or information from the held-out data. Examples include scaling before splitting, selecting f...
Use retrieval-augmented generation when answers need access to changing, private, or attributable knowledge. Retrieve authorized documents, provide relevant passages, and require grounded answers with...
Verify the monitoring and label pipeline before assuming the model changed. Compare current and training feature distributions, missing values, schema, segment mix, and prediction scores. Distinguish ...
Test your aptitude, quantitative reasoning, and core programming skills under timed conditions.
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