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ChatGPT is a generative artificial intelligence chatbot [2] [3] developed by OpenAI and launched in 2022. It is currently based on the GPT-4o large language model (LLM). ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [4]
GPT-4o mini is the default model for users not logged in who use ChatGPT as guests and those who have hit the limit for GPT-4o. GPT-4o mini will become available in fall 2024 on Apple's mobile devices and Mac desktops, through the Apple Intelligence feature.
OpenAI o1 is a generative pre-trained transformer (GPT). A preview of o1 was released by OpenAI on September 12, 2024. o1 spends time "thinking" before it answers, making it better at complex reasoning tasks, science and programming than GPT-4o. [1] The full version was released to ChatGPT users on December 5, 2024. [2]
The new model, called GPT-4o, is an update from the company’s previous GPT-4 model, which launched just over a year ago. The model will be available to unpaid customers, meaning anyone will have ...
Generative Pre-trained Transformer 4 (GPT-4) is a multimodal large language model trained and 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]
AI crosses ‘red line’ after learning to replicate itself ... almost across the board GPT-4o, DeepSeek-V3 and Llama-3.1-405B,” Alibaba’s cloud unit said in an announcement posted on its ...
Kela said DeepSeek was vulnerable to so-called Evil Jailbreak attacks, which involve instructing an AI to answer questions about illegal activities—like how to launder money or write and deploy ...
For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning. [24] In-context learning is an emergent ability [25] of large language models.