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2. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a chatbot 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. Generative artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Generative_artificial...

   Théâtre D'opéra Spatial, an image generated with Midjourney. Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of ...

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   en.wikipedia.org/wiki/Photobooth-webcam-online

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6. Sam Altman - Wikipedia

   en.wikipedia.org/wiki/Sam_Altman

   blog .samaltman .com. Signature. Samuel Harris Altman (born April 22, 1985) is an American entrepreneur and investor best known as the CEO of OpenAI since 2019 (he was briefly fired and reinstated in November 2023). [1] He is also CEO of Oklo Inc. (formerly AltC Acquisition Corp) since 2021. [2]

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   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!

8. Midjourney - Wikipedia

   en.wikipedia.org/wiki/Midjourney

   Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco –based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI 's DALL-E and Stability AI 's Stable Diffusion. [1] [2] It is one of the technologies ...

9. 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.