test

Large language models refer to artificial intelligence models that are trained on massive amounts of text data to generate human-like text. These models are typically based on deep learning techniques, such as transformers, and are capable of understanding and generating coherent and contextually relevant text. They can be used for a variety of natural language processing tasks, including text generation, translation, summarization, question answering, and more. Examples of large language models include OpenAI's GPT-3 (Generative Pre-trained Transformer3) and Google's BERT (Bidirectional Encoder Representations from Transformers). These models have millions or even billions of parameters, enabling them to capture complex patterns and nuances in language.