Large Language Models

Language models are computational algorithms designed to process, understand, and generate natural language. The study, research, and development of these algorithms is known as natural language processing (NLP). NLP predates the field of machine learning (ML) and can be traced back to the 1950s and the development of the first computers. While the first language models relied heavily on rule-based approaches, NLP shifted in the 1980s toward statistical methods and began to converge with ML. The increase in computational power and text corpora led to the development of deep learning and neural network-based language models in the early 21st century, which have seen significant progress over the last decade.

Language models have a variety of applications in NLP for understanding and generating natural languages as well as more formal languages, such as programming and database query languages. Their use cases include tasks such as text labeling and sentiment...