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Website. openai .com /gpt-4. 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 ...
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]
ERNIE Bot 4.0, run by Chinese tech giant Baidu, is touted to be in the same league as industry darling chatbot GPT-4. Unveiled in October and launched to paying subscribers in November, ERNIE 4.0 ...
GPT-4o is twice as fast and costs half as much as GPT-4 Turbo. GPT-4o is free to all users within a usage limit, despite being more capable than the older model GPT-4, which is only available through paid subscriptions. The usage limit is five times higher for ChatGPT Plus subscribers than for free users. [95]
(The pricing of GPT-4o to enterprise developers through OpenAI’s API is half what GPT-4 Turbo goes for, which may indicate the startup’s own costs are similarly about half. Still, the model ...
SenseTime co-founder and CEO Xu Li cited data from OpenCompass to claim that SenseNova 5.5 outperformed GPT-4 in five of eight key metrics, ... Baidu priced Ernie 4.0 Turbo at 30 yuan ($4.13) per ...
The most recent of these, GPT-4, was released in March 2023. [11] Such models have been the basis for their more task-specific GPT systems, including models fine-tuned for instruction following—which in turn power the ChatGPT chatbot service. [1] The term "GPT" is also used in the names and descriptions of such models developed by others.
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]