Tag: Language Models

Language models are computational algorithms designed to understand, generate, and manipulate human language. They are trained on large datasets of text to learn the statistical properties of language, such as patterns, syntax, semantics, and context. By predicting the probability of a sequence of words, language models can generate coherent and contextually relevant text based on given prompts. They can be used for various applications, including machine translation, text summarization, sentiment analysis, and conversational agents. The accuracy and fluency of language models depend on their architecture, training data, and size, with larger models often performing better in generating human-like text.