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2. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   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.

3. ChatGPT in education - Wikipedia

   en.wikipedia.org/wiki/ChatGPT_in_education

   ChatGPT is a virtual assistant developed by OpenAI and launched in November 2022. It uses advanced artificial intelligence (AI) models called generative pre-trained transformers (GPT), such as GPT-4o, to generate text. GPT models are large language models that are pre-trained to predict the next token in large amounts of text (a token usually ...

4. List of computing and IT abbreviations - Wikipedia

   en.wikipedia.org/wiki/List_of_computing_and_IT...

   IDS —Intrusion Detection System. IE —Internet Explorer. IEC —International Electrotechnical Commission. IEEE —Institute of Electrical and Electronics Engineers. IETF —Internet Engineering Task Force. IFL —Integrated Facility for Linux. IGMP —Internet Group Management Protocol. IGRP —Interior Gateway Routing Protocol.

5. AOL Mail

   mail.aol.com

   Explore our AOL Mail product page to learn even more. Start for free. Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

6. Use POP or IMAP to sync AOL Mail on a third-party app or ...

   help.aol.com/articles/how-do-i-use-other-email...

   There are two different protocols you can choose when setting up a third-party email app: POP or IMAP. POP downloads a copy of your emails from your account (mail.aol.com) to the app. This means that if you delete an email from your account after it's been downloaded, the downloaded copy remains in the app. Additionally, POP only downloads ...

7. Generative pre-trained transformer - Wikipedia

   en.wikipedia.org/wiki/Generative_pre-trained...

   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.