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Language models are not just about predicting the next word in a sequence; they're about understanding the underlying structure and meaning of language. This requires capturing the nuances of grammar, semantics, and pragmatics. For example, a language model needs to be able to distinguish between different parts of speech, understand the relationships michael mcdonald (comedian) between words in a sentence, and recognize the different meanings of words in different contexts. It also needs to be able to handle ambiguity, idiomatic expressions, and other complexities of human language. To achieve this, language models often incorporate techniques from other areas of NLP, such as parsing, semantic analysis, and discourse analysis.
