A Generative Pre-trained Transformer (GPT) is a type of artificial intelligence model that focuses on natural language processing tasks. It is built using a transformer architecture, which enables it to understand and generate human-like text by learning patterns and relationships within a large dataset of text. GPT models are pre-trained on massive amounts of data and can be fine-tuned for specific tasks, such as text summarization, writing, translation, list generation, question-answering, and more.
The GPT model is an autoregressive language model, meaning it generates text one token (word or subword) at a time, conditioning its prediction on the previously generated tokens. It utilizes a self-attention mechanism, allowing it to consider different parts of the input text when making predictions. This mechanism allows GPT to capture long-range dependencies and generate more coherent and contextually accurate text.
The GPT architecture was first introduced by OpenAI, and its latest version, GPT-4, is one of the largest and most powerful language models available today.
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