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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2]

  3. 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] 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.

  4. iOS jailbreaking - Wikipedia

    en.wikipedia.org/wiki/IOS_jailbreaking

    Apple has released various updates to iOS that patch exploits used by jailbreak utilities; this includes a patch released in iOS 6.1.3 to software exploits used by the original evasi0n iOS 6–6.1.2 jailbreak, in iOS 7.1 patching the Evasi0n 7 jailbreak for iOS 7–7.0.6-7.1 beta 3. Boot ROM exploits (exploits found in the hardware of the ...

  5. JailbreakMe - Wikipedia

    en.wikipedia.org/wiki/JailbreakMe

    JailbreakMe is a series of jailbreaks for Apple's iOS mobile operating system that took advantage of flaws in the Safari browser on the device, [1] providing an immediate one-step jailbreak, unlike more common jailbreaks, such as Blackra1n and redsn0w, that require plugging the device into a computer and running the jailbreaking software from the desktop.

  6. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    Prompt engineering is the process of structuring or crafting an instruction in order to produce the best possible output from a generative artificial intelligence (AI) model.

  7. GPT-2 - Wikipedia

    en.wikipedia.org/wiki/GPT-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 ]