What is a corpus in the context of AI?

In the context of AI, particularly within natural language processing (NLP), a corpus refers to a large collection of texts or data that is used for analysis and model training. It serves as the foundation for various AI applications, enabling algorithms to learn patterns, language structures, and domain-specific knowledge. By analyzing the corpus, machine learning models can develop an understanding of language, ultimately enhancing their ability to perform tasks such as text classification, translation, sentiment analysis, and more.

The use of a corpus is crucial because it provides the examples from which the AI system can learn. The more comprehensive and diverse the corpus, the better the AI can generalize to new situations, making it an essential component for effective training and evaluation of AI models, particularly in NLP applications.