What term describes a subcategory of foundation models used for text and computer code?

The term that accurately describes a subcategory of foundation models used specifically for text and computer code is Large Language Models. These models are designed to process and generate human-like text based on the vast amounts of textual data they are trained on. They utilize sophisticated algorithms and architectures to understand context, generate coherent sentences, and even write or analyze code.

Large Language Models have gained prominence due to their ability to perform multiple tasks related to natural language understanding and generation, making them essential in applications such as chatbots, content creation, and automated code writing.

While neural networks, artificial intelligence, and deep learning models are relevant concepts in the broader field of machine learning, they do not specifically denote the subcategory that focuses on text and computer code. Neural networks refer to a specific architecture used for a variety of machine learning tasks, artificial intelligence is a broader umbrella term encompassing various techniques and technologies, and deep learning models describe a subset of methods that use neural networks with many layers. Large Language Models, however, distinctly focus on the linguistic and programming aspects, categorizing them uniquely within the domain of foundation models.