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Exam UiSAIv1 topic 1 question 179 discussion

Actual exam question from UiPath 's UiSAIv1
Question #: 179
Topic #: 1
[All UiSAIv1 Questions]

For what purpose can data coming from human validation be used in AI Center?

  • A. To evaluate the ML model.
  • B. To retrain the ML model.
  • C. To keep track of corrections done on the extracted data.
  • D. To keep track of the number of documents that require human validation.
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Suggested Answer: B 🗳️

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Engineer24
5 months, 2 weeks ago
Selected Answer: B
Using Data Labeling with human in the loop Data Labeling enables you to upload raw data, annotate text data in the labeling tool (for classification or entity recognition), and use the labeled data to train ML models. Apart from this, you can use data labeling for human validation on model outputs. A common scenario is when you train an extractor or classifier model. When the model prediction falls below a set confidence threshold, that data can be sent to Action Center for human validation. The validated data can be used to retrain the model in order to improve confidence on subsequent model predictions. https://docs.uipath.com/ai-center/automation-cloud/latest/user-guide/using-data-labeling-with-human-in-the-loop
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