Large Language Models

Large Language Models (LLMs) are advanced deep learning algorithms that use neural networks, specifically transformer architectures, to process and generate natural language. They are 'large' because they contain billions of parameters and are trained on massive datasets encompassing books, articles, and websites. LLMs can perform a wide range of tasks including translation, summarization, question answering, and creative writing. Notable examples include GPT-4, Llama, and Claude. These models learn the statistical patterns of language to predict the next token in a sequence, enabling them to produce coherent and contextually relevant text.