Which type of extractor is noted for having no associated AI unit cost?

Which type of extractor is noted for having no associated AI unit cost?

• A. Form Extractor
• B. Keyword Classifier
• C. Data Table Extractor
• D. Custom Extractor

Answer: (B)

The Keyword Classifier is recognized for having no associated AI unit cost because it operates based on traditional keyword matching rather than utilizing AI models that require extensive computational resources and associated costs. Keyword Classifiers focus on identifying key terms or phrases found in the input data to categorize or extract information. This method is typically less resource-intensive as it relies on simple matching techniques instead of sophisticated AI learning processes. In comparison, other extractors like the Form Extractor, Data Table Extractor, and Custom Extractor often involve machine learning models or pre-trained AI algorithms, which usually come with a cost due to their complexity and the computational power needed to operate them. These extractors are designed to handle more nuanced tasks requiring analysis of data structures or the identification of patterns within datasets, contributing to additional costs associated with their AI units.

The Keyword Classifier is recognized for having no associated AI unit cost because it operates based on traditional keyword matching rather than utilizing AI models that require extensive computational resources and associated costs. Keyword Classifiers focus on identifying key terms or phrases found in the input data to categorize or extract information. This method is typically less resource-intensive as it relies on simple matching techniques instead of sophisticated AI learning processes.

In comparison, other extractors like the Form Extractor, Data Table Extractor, and Custom Extractor often involve machine learning models or pre-trained AI algorithms, which usually come with a cost due to their complexity and the computational power needed to operate them. These extractors are designed to handle more nuanced tasks requiring analysis of data structures or the identification of patterns within datasets, contributing to additional costs associated with their AI units.