Explore the use of the document loader, text splitter, and summarization chain — Introduction Large language models (LLMs) are trained on massive amounts of text data using deep learning methods. The resulting model can perform a wide range of natural language processing (NLP) tasks, which can be broadly categorized into seven major use cases: classification, clustering, extraction, generation, rewriting, search, and summarization (read more…