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  2. Zapier - Wikipedia

    en.wikipedia.org/wiki/Zapier

    Zapier was founded in Columbia, Missouri by Wade Foster, Bryan Helmig, and Mike Knoop in 2011. [5] The following year, they were accepted to the Y Combinator [6] startup seed accelerator and temporarily relocated to Mountain View, California. In October 2012, Zapier received a $1.3 million seed round led by Bessemer Venture Partners. [7]

  3. AutoGPT - Wikipedia

    en.wikipedia.org/wiki/AutoGPT

    AutoGPT is an open-source "AI agent" that, given a goal in natural language, will attempt to achieve it by breaking it into sub-tasks and using the Internet and other tools in an automatic loop. [1] It uses OpenAI 's GPT-4 or GPT-3.5 APIs , [ 2 ] and is among the first examples of an application using GPT-4 to perform autonomous tasks.

  4. Automated planning and scheduling - Wikipedia

    en.wikipedia.org/wiki/Automated_planning_and...

    Given a description of the possible initial states of the world, a description of the desired goals, and a description of a set of possible actions, the planning problem is to synthesize a plan that is guaranteed (when applied to any of the initial states) to generate a state which contains the desired goals (such a state is called a goal state).

  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. Make Money With AI and ChatGPT: How To Earn $1,000 a Month - AOL

    www.aol.com/money-ai-chat-gpt-earn-195918119.html

    How To Make Money With AI: 4 Ways To Earn $1,000. Of course, ChatGPT is not the only AI platform out there. There are many other ways to make money with AI that don’t involve ChatGPT. Build Websites

  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.

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