What type of extractor is identified as an AI-based extractor?

The ML Extractor is recognized as an AI-based extractor because it utilizes machine learning algorithms to comprehend and extract relevant information from unstructured or semi-structured data sources. Unlike traditional extractors that rely on predefined rules or patterns, the ML Extractor learns from examples and can adapt to variations in data formats and layouts. This ability makes it particularly versatile and powerful when dealing with diverse documents where data may not be presented in a consistent manner.

Machine learning models are trained on sample data, allowing them to generalize and accurately extract information from new, unseen documents. This capability stands in contrast to other extractors that are typically rule-based and may struggle when faced with unexpected changes in data presentation. Additionally, the ML Extractor can improve over time as it is exposed to more data, enhancing its accuracy and reliability in extraction tasks.