LLMs (Large Language Models) are a type of artificial intelligence model that have been trained on vast amounts of text data, and can be used for a variety of natural language tasks, such as language translation, text summarization, and question-answering. LLMs are typically based on the Transformer architecture, which is a type of neural network that is particularly suited for natural language processing tasks. By training on large amounts of data, LLMs are able to learn the patterns and structures of human language and can generate text that is indistinguishable from text written by a human.
GPT (Generative Pretrained Transformer) is a family of LLMs that has been developed by OpenAI. GPT models are trained on massive amounts of text data, and can be used to generate natural language text, such as articles, stories, or poetry. GPT models are based on the Transformer architecture, and are trained using a technique called unsupervised learning, which