Generative Pre-trained Transformer (GPT)

Generative Pre-trained Transformer (GPT) is a language model developed by OpenAI. It is a type of deep learning model that has been trained on a massive amount of text data to generate human-like text. The model uses a transformer architecture, which was introduced in the paper "Attention is All You Need". The pre-training process involves learning patterns in language and is then fine-tuned for specific tasks such as language translation, question answering, and text completion. GPT has been shown to perform well on a wide range of natural language processing tasks and is commonly used for various language-based applications.

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