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2. 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.

3. GPT-4o - Wikipedia

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

   GPT-4o (GPT-4 Omni) is a multilingual, multimodal generative pre-trained transformer designed by OpenAI. It was announced by OpenAI's CTO Mira Murati during a live-streamed demo on 13 May 2024 and released the same day. GPT-4o is free, but with a usage limit that is 5 times higher for ChatGPT Plus subscribers.

4. ChatGPT maker OpenAI announces new 'flagship' model - AOL

   www.aol.com/finance/chatgpt-maker-openai...

   OpenAI said on Monday it is rolling out a new advanced model, GPT-40, which will be available to users for free. The company provided live demonstrations of GPT-40's capabilities, including a new ...

5. ChatGPT set to surpass 100M users faster than TikTok: UBS - AOL

   www.aol.com/finance/chatgpt-track-surpass-100...

   "Google Trends data shows that worldwide Google search queries for the terms ‘chatgpt’ and ‘chat gpt’ are near peak volumes since the site was launched in November 2022, with search ...

6. ChatGPT breaks daily traffic records after launching ... - AOL

   www.aol.com/chatgpt-breaks-daily-traffic-records...

   ChatGPT has been breaking daily traffic records since it recently launched new features, according to Similarweb. Following OpenAI unveiling a new artificial intelligence model, GPT-4o, last week ...

7. 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.