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On October 31, 2024, OpenAI launched ChatGPT Search to ChatGPT Plus and Team subscribers, and it was made available to free users in December 2024. [ 5 ] [ 3 ] [ 6 ] OpenAI ultimately incorporated the search features into ChatGPT in December 2024.
Capable of processing text, image, audio, and video, GPT-4o is faster and more capable than GPT-4, and free within a usage limit that is higher for paid subscriptions. [111] Active GPT-4o mini: July 2024 A smaller and cheaper version of GPT-4o. GPT-4o mini replaced GPT-3.5 in the July 2024 version of ChatGPT. [112] Active o1-preview September 2024
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
At a developer conference in San Francisco, the company also announced a new, more powerful model of GPT-4 and slashed prices. OpenAI Announces a Customizable ChatGPT and More Powerful, Cheaper ...
Generative Pre-trained Transformer 1 (GPT-1) was the first of OpenAI's large language models following Google's invention of the transformer architecture in 2017. [2] In June 2018, OpenAI released a paper entitled "Improving Language Understanding by Generative Pre-Training", [ 3 ] in which they introduced that initial model along with the ...
GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but ChatGPT Plus subscribers have higher usage limits. [2] It can process and generate text, images and audio. [3]
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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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