GPT was first introduced in a paper by researchers at OpenAI in 2018. It was designed to improve upon previous language model architectures by using a transformer architecture, which allows it to process long sequences of text more efficiently.
Since its introduction, GPT has been used in a variety of applications, including machine translation, language generation, and chatbots. It has also been used to generate news articles, poetry, and even music.
One of the key features of GPT is its ability to perform unsupervised pre-training on a large dataset. This allows the model to learn about the structure and patterns of language in a way that is not possible with supervised learning methods.
GPT has undergone several iterations and improvements since its initial release. The most recent version, GPT-3, was released in 2020 and is one of the largest and most powerful language models to date, with billions of parameters.
In summary, GPT is a type of language model developed by OpenAI that is capable of generating human-like text by predicting the next word in a sequence based on the context of the words that come before it. It has been used in a variety of applications and has undergone several improvements since its introduction.
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