Language Models are statistical tools utilized to predict and generate text based on input data. They understand language patterns to facilitate tasks like translation, summarization, and question-answering. These models operate by learning from vast datasets to predict the next word in a sentence. Similar terms include 'natural language processing tasks' and 'text generation techniques'. Notable examples include BERT, GPT, and LSTM networks.