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  2. ChatGPT now has a ‘memory’ - AOL

    www.aol.com/chatgpt-now-memory-215811962.html

    ChatGPT now has a memory of its own, creator OpenAI has announced. ... The tool is rolling out now for users of ChatGPT’s paid for Plus version. It is not available in Europe or Korea ...

  3. ChatGPT’s ‘memory’ experiment offers a glimpse into what AI ...

    www.aol.com/finance/chatgpt-memory-experiment...

    Individual GPTs—the custom models any Plus subscriber can create or use—will have their own distinct memories, and OpenAI also laid out how users of the ChatGPT Enterprise and Teams plans can ...

  4. Is ChatGPT Plus Worth the Extra Cost? Here’s What You ... - AOL

    www.aol.com/chatgpt-plus-worth-extra-cost...

    ChatGPT Plus launched in February 2023 and it currently offers many of the same features as the free version. That is, it can conversationally chat with you, answer questions, create content ...

  5. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    ChatGPT was released as a freely available research preview, but due to its popularity, OpenAI now operates the service on a freemium model. Users on its free tier can access GPT-4o and GPT-3.5. The ChatGPT subscriptions "Plus", "Team" and "Enterprise" provide additional features such as DALL-E 3 image generation and increased GPT-4o usage limit.

  6. GPT-4 - Wikipedia

    en.wikipedia.org/wiki/GPT-4

    Machine learningand data mining. Generative Pre-trained Transformer 4 ( GPT-4) is a multimodal large language model created by OpenAI, and the fourth in its series of GPT foundation models. [1] It was launched on March 14, 2023, [1] and made publicly available via the paid chatbot product ChatGPT Plus, via OpenAI's API, and via the free chatbot ...

  7. GPT-3 - Wikipedia

    en.wikipedia.org/wiki/GPT-3

    v. t. e. Generative Pre-trained Transformer 3 ( GPT-3) is a large language model released by OpenAI in 2020. Like its predecessor, GPT-2, it is a decoder-only [2] transformer model of deep neural network, which supersedes recurrence and convolution-based architectures with a technique known as "attention". [3]

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