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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.
OpenAI deactivated several ChatGPT accounts using the artificial intelligence chatbot to spread disinformation as part of an Iranian influence operation, the company reported Friday.. The covert ...
ChatGPT is a virtual assistant developed by OpenAI and launched in November 2022. It uses advanced artificial intelligence (AI) models called generative pre-trained transformers (GPT), such as GPT-4o, to generate text. GPT models are large language models that are pre-trained to predict the next token in large amounts of text (a token usually ...
ChatGPT stands for “Chat Generative Pre-trained Transformer.”. It’s a mouthful, we know, hence most people shortening the name of the tool to “ChatGPT.”. As of September 2023, ChatGPT-3. ...
5. Try role-play. You can prompt ChatGPT to take on different personas, such as acting like a doctor or replying in Elvis's voice. While asking ChatGPT to pretend it's a scientist won't make it an ...
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 Microsoft Copilot. [ 2]
The operation, identified as Storm-2035, used ChatGPT to generate content focused on topics such as commentary on the candidates on both sides in the U.S. elections, the conflict in Gaza and ...
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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