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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 ("o" for "omni") is a multilingual, multimodal generative pre-trained transformer developed by OpenAI and released in May 2024. [1] GPT-4o is free, but with a usage limit that is five times higher for ChatGPT Plus subscribers. [2]
The Interpreter provides a wide range of capabilities, including data analysis and interpretation, instant data formatting, personal data scientist services, creative solutions, musical taste analysis, video editing, and file upload/download with image extraction. [57] In September 2023, OpenAI announced that ChatGPT "can now see, hear, and speak".
This version of ChatGPT is an earlier generation of the software called GPT 3.5, originally released in early 2022. And this open-access version does have a few caveats: For one, you can’t save ...
The usage of ChatGPT in education has sparked considerable debate and exploration. ChatGPT is a chatbot based on large language models (LLMs) that was released by OpenAI in November 2022. Educators' opinions vary widely; while some are skeptical about the benefits, many see them as valuable tools.
ChatGPT, the AI chatbot that's garnered widespread attention since its launch two months ago, is on track to surpass 100 million monthly active users (MAUs), according to data compiled by UBS.
ChatGPT Plus users can upload images, while mobile app users can talk to the chatbot. [248] [249] In October 2023, OpenAI's latest image generation model, DALL-E 3, was integrated into ChatGPT Plus and ChatGPT Enterprise. The integration uses ChatGPT to write prompts for DALL-E guided by conversation with users. [250] [251]
Since the transformer architecture enabled massive parallelization, GPT models could be trained on larger corpora than previous NLP (natural language processing) models.. While the GPT-1 model demonstrated that the approach was viable, GPT-2 would further explore the emergent properties of networks trained on extremely large corpo