Question

A media company wants an AI system that can answer open-ended employee questions by drawing on thousands of internal policy documents, meeting transcripts, and emails. The team debates which class of model best fits this need. Which type of model is most appropriate as the foundation for this application?

Accepted Answer

A large language model, because it is pretrained on vast text corpora and can understand and generate natural-language responses across diverse document types

Answer

A linear regression model, because it can map document inputs to numeric answer scores efficiently

Answer

A convolutional neural network, because it is optimized for extracting spatial features from grid-structured data

Answer

A k-means clustering model, because it can group the documents into unlabeled categories automatically