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For starters, ChatGPT-4 is multimodal (working with both imagers and text) and more “steerable” than ChatGPT-3.5 in that it can take multiple prompts in greater numbers, which allows it to ...
ChatGPT-4: March 2023 Introduced with the ChatGPT Plus subscription, this version is more accurate, based on the GPT-4 model. ChatGPT-4o: May 2024 Capable of processing text, image, audio, and video. It is faster and more capable than GPT-4, and free within a usage limit that is higher for paid subscriptions. [103] ChatGPT-4o mini: July 2024
Currently, you can use a basic version of ChatGPT for free at chat.openai.com, or update to ChatGPT Plus for $20 a month for access to ChatGPT-4, the latest model with the fastest response speed.
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 ]
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. [ 1] GPT-4o is free, but with a usage limit that is 5 times higher for ChatGPT Plus subscribers. [ 2]
When ChatGPT came out to the market, it was evident that the other tech giants would soon follow with competing products. One of the common complaints about ChatGPT was how the tool was limited to ...
Some notable LLMs are OpenAI's GPT series of models (e.g., GPT-3.5, GPT-4 and GPT-4o; used in ChatGPT and Microsoft Copilot), Google's Gemini (the latter of which is currently used in the chatbot of the same name), Meta's LLaMA family of models, IBM's Granite models initially released with Watsonx, Anthropic's Claude models, and Mistral AI's ...
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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