Chunking involves dividing a large set of data, such as text or sequences, into smaller parts. This approach facilitates easier processing, understanding, and analysis by algorithms or models. For instance, breaking down a lengthy document into paragraphs or sentences can make it more analyzable by text-processing tools, enhancing efficiency and accuracy in tasks like text summarization or natural language understanding.