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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 ‘grandma exploit’ gives users free keys for Windows 11

   www.aol.com/news/chatgpt-grandma-exploit-gives...

   The hack utilises a ChatGPT trick known as the ‘grandma exploit’, which bypasses the AI chatbot’s rules by asking it to pretend to be a dead grandmother. “ChatGPT gives you free Windows 10 ...

4. GPT-4o - Wikipedia

   en.wikipedia.org/wiki/GPT-4o

   GPT-4o ( GPT-4 Omni) is a multilingual, multimodal generative pre-trained transformer designed by OpenAI. It was announced by OpenAI's CTO Mira Murati during a live-streamed demo on 13 May 2024 and released the same day. [1] GPT-4o is free, but with a usage limit that is 5 times higher for ChatGPT Plus subscribers. [2]

5. List of chat websites - Wikipedia

   en.wikipedia.org/wiki/List_of_chat_websites

   No BongaCams: One-way webcam model live video streaming: Yes No Yes Yes Yes No No Yes Chat-Avenue: Adobe Flash and PHP-based chat rooms: Yes Yes Yes Yes Yes No No Yes Chatroulette: Two-way live video streaming between random pairs of people No No Yes Yes Yes Yes No Yes Chaturbate: Two-way webcam model live video streaming: Yes No No Yes Yes No ...

6. ChatGPT in education - Wikipedia

   en.wikipedia.org/wiki/ChatGPT_in_education

   ChatGPT in education. Output from ChatGPT being asked to generate an essay draft about a subject. Since OpenAI's public release of ChatGPT in November 2022, the use of chatbots has been widely discussed within education. Opinions among educators are divided; some oppose the use of large language models, while a majority finds them beneficial. [1]

7. Generative pre-trained transformer - Wikipedia

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

   History Initial developments. Generative pretraining (GP) was a long-established concept in machine learning applications. 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.