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  2. The best ChatGPT courses you can take online for free - AOL

    www.aol.com/news/best-chatgpt-courses-online...

    TL;DR: A wide range of free ChatGPT courses are available on Udemy. Learn how to boost your productivity, earn passive income, and create engaging content with help from artificial intelligence ...

  3. 5 of the best free online AI and ChatGPT courses available ...

    www.aol.com/news/5-best-free-online-ai-093306424...

    FREE COURSES: A wide range of beginner-friendly AI and ChatGPT courses are available for free on Udemy.We're not going to pretend for one minute that artificial intelligence doesn't scare us.

  4. 20 of the best free AI and ChatGPT courses available this week

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    TL;DR: A wide range of AI and ChatGPT courses are available for free on edX. Enroll in the best courses from the likes of Google, IBM, and Harvard, without spending anything.Artificial ...

  5. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT is a generative artificial intelligence chatbot [2] [3] 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. [4]

  6. Chatbot - Wikipedia

    en.wikipedia.org/wiki/Chatbot

    A chatbot (originally chatterbot) [1] is a software application or web interface designed to have textual or spoken conversations. [2] [3] [4] 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 the way a human would behave as a conversational partner.

  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] 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.