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2. ChatGPT - Wikipedia

   en.wikipedia.org/wiki/ChatGPT

   ChatGPT is a generative artificial intelligence chatbot [2][3] developed by OpenAI. Launched in 2022 based on the GPT-3.5 large language model (LLM), it was later updated to use the GPT-4 architecture. ChatGPT can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format ...

3. ChatGPT can now respond with spoken words. But what is it ...

   www.aol.com/news/chatgpt-used-exactly-does-heres...

   ChatGPT, the AI-powered large language model, developed by OpenAI. Users are using ChatGPT to do everything from being more productive to helping find diagnoses for medical conundrums.

4. ChatGPT in education - Wikipedia

   en.wikipedia.org/wiki/ChatGPT_in_education

   ChatGPT returned a result of all students using it, and so the professor promptly returned a failing grade to all of his students. Rolling Stone noted however that ChatGPT is unable to reliably verify whether it was used to write student assignments, and a post to a Reddit community dedicated to ChatGPT received widespread attention with many ...

5. The Pros and Cons of Using ChatGPT Like a Personal Trainer

   www.healthline.com/health-news/pros-and-cons-of...

   Using ChatGPT as a personal trainer can be a valuable tool for obtaining topline guidance and basic information regarding fitness and wellness. However, it can also provide outdated or ...

6. What Is ChatGPT? And How Can It Help You Get Work Done? - AOL

   www.aol.com/finance/chatgpt-help-done-200104918.html

   ChatGPT, a chatbot created by OpenAI that launched late last year, has been making headlines and, in some cases, creating them. Check Out: GOBankingRates' Best Online and Neobank Savings Accounts ...

7. Generative pre-trained transformer - Wikipedia

   en.wikipedia.org/wiki/Generative_pre-trained...

   Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.