GPT is the acronym for Generative Pre-trained Transformer.

What is Generative Pre-trained Transformer?

A type of artificial intelligence model based on the Transformer architecture, which was introduced by Vaswani et al. in 2017. The GPT model is designed for natural language processing (NLP) tasks and has seen widespread use in applications like machine translation, text summarization, question-answering, text generation, and more.

The GPT model utilizes a generative approach, which means it can generate human-like text by predicting the next word in a sequence given a context. It is pre-trained on a massive dataset of text and fine-tuned for specific tasks using supervised learning.

The GPT architecture is based on self-attention mechanisms, which enable the model to weigh the importance of different words in a given context. This approach allows GPT to understand long-range dependencies in language and perform better on various NLP tasks compared to earlier models.

OpenAI’s Generative Pre-trained Transformer (GPT) Versions:

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