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Corpus

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TL;DR. A large and structured collection of texts, often used to train NLP models.

Technical Definition

A large and structured collection of texts, often used to train NLP models.

How it works

A corpus serves as the raw material for teaching AI models how language works. For conversational AI, this might include transcripts of human-to-human conversations or customer service interactions. The quality and diversity of the corpus directly impact the AI's ability to understand and generate natural language effectively.

Related Concepts

  • Dataset — An organized collection of examples used to train, validate, or test a model.
  • Training Data — The portion of a dataset used to fit a model's parameters.
  • Natural language processing (NLP) — A field of AI enabling computers to understand, interpret, and generate human language.