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GPT4-Chan. Generative Pre-trained Transformer 4Chan (GPT-4chan) is a controversial AI model that was developed and deployed by YouTuber and AI researcher Yannic Kilcher in June 2022. The model is a large language model, which means it can generate text based on some input, by fine-tuning GPT-J with a dataset of millions of posts from the /pol ...
4chan Homepage on May 3, 2023 Type of site Imageboard Available in English Owner Hiroyuki Nishimura Created by Christopher Poole URL www.4chan.org Commercial Yes Registration None available (except for staff) Launched October 1, 2003 ; 20 years ago (2003-10-01) 4chan is an anonymous English-language imageboard website. Launched by Christopher "moot" Poole in October 2003, the site hosts boards ...
According to a 2017 longitudinal study, using a dataset of over 8 million posts, /pol/ is a diverse ecosystem with users well-distributed around the world. The percentage of posts containing hate speech ranges from 4.15% (e.g., in Indonesia, Arab countries) to 30% (e.g., China, Bahamas, Cyprus). Elevated use of hate speech is seen in Western ...
Website. openai .com /gpt-4. Generative Pre-trained Transformer 4 ( GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models. [ 1] It was launched on March 14, 2023, [ 1] and made publicly available via the paid chatbot product ChatGPT Plus, via OpenAI's API, and via the free chatbot ...
Media in category "4chan". This category contains only the following file. Messages sent by "Philip Manshaus" prior to Norway mosque attack.png 457 × 218; 92 KB. Categories:
Method 1: searching. Enter text in the search field that you seek to create as a page title. If the title you entered does not already exist, is not technically restricted and is not creation protected, the resulting page will i) tell you that it does not exist; ii) advise that you can create the page, and iii) will provide a red link to the ...
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] 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.
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