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OpenAI demonstrated video and image inputs for GPT-4, although such features remain inaccessible to the general public. [90] OpenAI has declined to reveal technical information such as the size of the GPT-4 model. [91] The ChatGPT Plus subscription service offers access to a GPT-4-powered version of ChatGPT. [92]
OpenAI also makes GPT-4 available to a select group of applicants through their GPT-4 API waitlist; [239] after being accepted, an additional fee of US$0.03 per 1000 tokens in the initial text provided to the model ("prompt"), and US$0.06 per 1000 tokens that the model generates ("completion"), is charged for access to the version of the model ...
The first iteration, GPT-1, [18] was scaled up to produce GPT-2 in 2019; [19] in 2020, it was scaled up again to produce GPT-3, with 175 billion parameters. [ 20 ] [ 5 ] [ 21 ] DALL·E's model is a multimodal implementation of GPT-3 [ 22 ] with 12 billion parameters [ 5 ] which "swaps text for pixels," trained on text–image pairs from the ...
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Other such models include Google's PaLM, a broad foundation model that has been compared to GPT-3 and has recently been made available to developers via an API, [40] [41] and Together's GPT-JT, which has been reported as the closest-performing open-source alternative to GPT-3 (and is derived from earlier open-source GPTs). [42]
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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] GPT-2 was created as a "direct scale-up" of GPT-1 [6] with a ten-fold increase in both its parameter count and the size of its training dataset. [5]
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