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Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3] [4] [5]
It is based on the transformer deep learning architecture, pre-trained on large data sets of unlabeled text, and able to generate novel human-like content. [2] [3] As of 2023, most LLMs had these characteristics [7] and are sometimes referred to broadly as GPTs. [8] The first GPT was introduced in 2018 by OpenAI. [9]
2.1 Text. 2.2 Code. 2.3 ... it can then be used as a probabilistic text generator ... This was followed in 2019 by GPT-2 which demonstrated the ability to generalize ...
DALL-E . Just months before ChatGPT launched, OpenAI removed the waitlist for its generative AI art generator, DALL-E.It quickly grew to over 1.5 million daily users by September 2022, the company ...
GPT-2, a text generating model developed by OpenAI Topics referred to by the same term This disambiguation page lists articles associated with the same title formed as a letter–number combination.
An instance of GPT-2 writing a paragraph based on a prompt from its own Wikipedia article in February 2021. Generative Pre-trained Transformer 2 ("GPT-2") is an unsupervised transformer language model and the successor to OpenAI's original GPT model ("GPT-1"). GPT-2 was announced in February 2019, with only limited demonstrative versions ...
The number of neurons in the middle layer is called intermediate size (GPT), [55] filter size (BERT), [35] or feedforward size (BERT). [35] It is typically larger than the embedding size. For example, in both GPT-2 series and BERT series, the intermediate size of a model is 4 times its embedding size: =.
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