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2. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   Capable of processing text, image, audio, and video, GPT-4o is faster and more capable than GPT-4, and free within a usage limit that is higher for paid subscriptions. [111] Active GPT-4o mini: July 2024 A smaller and cheaper version of GPT-4o. GPT-4o mini replaced GPT-3.5 in the July 2024 version of ChatGPT. [112] Active o1-preview September 2024

3. GPT Store - Wikipedia

   en.wikipedia.org/wiki/GPT_Store

   The GPT Store is a platform developed by OpenAI that enables users and developers to create, publish, and monetize GPTs without requiring advanced programming skills. GPTs are custom applications built using the artificial intelligence chatbot known as ChatGPT .

4. GPT-4o - Wikipedia

   en.wikipedia.org/wiki/GPT-4o

   GPT-4o ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but ChatGPT Plus subscribers have higher usage limits. [2] It can process and generate text, images and audio. [3]

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

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

   You may have heard about Jackson Greathouse Fall, who asked OpenAI's ChatGPT to give him instructions to turn $100 into "as much money as possible." He followed the chatbot's instructions and ...

6. OpenAI launches ChatGPT Plus, a paid version of the popular ...

   www.aol.com/news/openai-launches-chatgpt-plus...

   ChatGPT just launched ChatGPT Plus, a paid version of the online AI chatbot created by OpenAI.The pilot subscription plan gives users access to ChatGPT during peak times and faster response times ...

7. GPT-2 - Wikipedia

   en.wikipedia.org/wiki/GPT-2

   GPT-2 was pre-trained on a dataset of 8 million web pages. [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]