Prodigy AI
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FAQs
What is Prodigy AI, and what does it do?
Prodigy AI is a data labeling tool that uses active learning and machine learning to help developers and data scientists create high-quality training data for machine learning models. The tool is designed to help accelerate the process of building and refining machine learning models by providing a simple and efficient way to label data.
How does Prodigy AI use active learning to improve the labeling process?
Prodigy AI uses active learning to make the labeling process more efficient and effective. Active learning is a machine learning technique that involves selecting the most informative examples for labeling, rather than labeling everything. Prodigy AI uses this technique to identify the most relevant examples for human annotation, which helps to improve the accuracy of the labeled data while reducing the time and effort required to complete the labeling process.
What types of data can be labeled using Prodigy AI?
Prodigy AI can be used to label a wide range of data types, including text, images, and audio. The tool is designed to be flexible and customizable, allowing users to create their own labeling workflows and use their own data formats. This makes it a versatile tool that can be used in a wide range of applications, from natural language processing to computer vision and beyond.
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