A large language model (LLM) is a type of @Artificial Intelligence (AI) system that uses deep learning techniques to process and generate human-like text. Built on transformer architecture, LLMs are trained on vast corpora of text data to predict and generate sequences of words, enabling them to perform tasks such as translation, summarization, question answering, and conversation. Examples include @OpenAI’s @GPT series, @Google’s PaLM, and @Meta’s @LLaMA. These models rely on @unsupervised learning methods and scale in performance with increased data and computational resources. The capabilities of LLMs are continually evolving, raising both opportunities and concerns around bias, ethics, and societal impact.

Contexts

• #large-language-model