What defines a language model in AI?

A language model in AI is fundamentally a probabilistic model that generates and understands text. This model operates by leveraging vast amounts of text data to learn the structures, patterns, and relationships within language. It can predict the likelihood of a word or sequence of words appearing in a specific context, which enables it to generate coherent and contextually relevant sentences. This characteristic is essential for applications such as natural language processing (NLP), where understanding and creating human-like text is crucial.

The ability to generate text based on learned probabilities allows language models to perform various tasks, like text generation, completion, summarization, and even translation, making option B the most comprehensive definition. Other choices refer to more specific functions or tools that do not capture the broader capabilities and foundational principles of language models.