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ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.
Wikipedia is written by volunteer editors and hosted by the Wikimedia Foundation, a non-profit organization that also hosts a range of other volunteer projects : Commons. Free media repository. MediaWiki. Wiki software development.
OpenAI also makes GPT-4 available to a select group of applicants through their GPT-4 API waitlist; [240] 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 ...
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The Electronic and Postal Communications Authority ( Albanian: Autoriteti i Komunikimeve Elektronike dhe Postare, often abbreviated as AKEP) is the regulatory body in the electronic communications and postal services field, which supervises the regulatory framework provided for in the law on electronic communications and the law on postal ...
Download Desktop Gold. AOL Desktop Gold is included at no additional cost with your membership. 2. Under 'All Products' scroll to 'AOL Desktop Gold'. If you have an AOL Desktop Gold trial or subscription. Using the link in the Official AOL signup confirmation email you received. 1.
List of chatbots. A chatbot is a software application or web interface that is designed to mimic human conversation through text or voice interactions. [ 1][ 2][ 3] Modern chatbots are typically online and use generative artificial intelligence systems that are capable of maintaining a conversation with a user in natural language and simulating ...
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.