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  2. GPTZero - Wikipedia

    en.wikipedia.org/wiki/GPTZero

    GPTZero is an artificial intelligence detection software headquartered in New York City. It was originally developed to identify artificially generated text, such as that produced by large language models.

  3. 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.

  4. ZeroNet - Wikipedia

    en.wikipedia.org/wiki/ZeroNet

    ZeroNet is a decentralized web -like network of peer-to-peer users, created by Tamas Kocsis in 2015, programming for the network was based in Budapest, Hungary; is built in Python; and is fully open source. [3] Instead of having an IP address, sites are identified by a public key (specifically a bitcoin address).

  5. OpenAI unveils newest AI model, GPT-4o - AOL

    www.aol.com/openai-unveils-newest-ai-model...

    OpenAI on Monday announced its latest artificial intelligence large language model that it says will be easier and more intuitive to use.

  6. AOL Mail

    mail.aol.com

    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!

  7. Artificial intelligence content detection - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence...

    Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI). However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.

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  9. Zero-shot learning - Wikipedia

    en.wikipedia.org/wiki/Zero-shot_learning

    Zero-shot learning. Zero-shot learning ( ZSL) is a problem setup in deep learning where, at test time, a learner observes samples from classes which were not observed during training, and needs to predict the class that they belong to. The name is a play on words based on the earlier concept of one-shot learning, in which classification can be ...