Language modeling is a statistical approach used in natural language processing (NLP) to predict the probability of a sequence of words. It involves training algorithms to understand the structure and patterns of language by analyzing large corpora of text. Main characteristics include the ability to generate coherent text, predict the next word in a sentence, and recognize grammatical structures. Common use cases for language modeling include machine translation, speech recognition, and text generation applications such as chatbots and content creation tools.
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AI Fundamentals