ChatGPT is based on a large set of text data that comes from various sources, such as books, articles, Wikipedia and scientific journals. It's also important to understand that ChatGPT doesn't access a database with data to answer your questions. Instead, your answers are based on patterns you saw in training data. Therefore, ChatGPT is not always reliable.
You can usually answer general knowledge questions accurately, but you can easily give misleading answers on more specialized topics. Another consequence of this way of generating responses is that ChatGPT cannot normally cite its sources precisely. You don't really know what source you base any specific statement on. It's best to check all the information you get from it with a credible source.
The Scribbr plagiarism checker works with elements of the Turnitin similarity Checker, namely, plagiarism detection software and content databases from Internet Archive and Premium Scholarly Publications. The Scribbr citation generator has been developed using the open source Citation Style Language (CSL) project and Frank Bennett's citeproc-js. It's the same technology used by dozens of other popular citation tools, such as Mendeley and Zotero. You can find all the citation styles and regional settings used in the Scribbr citation generator in our publicly accessible repository on Github.
ChatGPT has been optimized based on GPT-3.5, a language model designed to produce text. ChatGPT was optimized for dialogue using reinforcement learning with human feedback (RLHF), a method that uses human demonstrations and comparison of preferences to guide the model to the desired behavior. Unlike traditional chatbots, Chat GPT-3 is not connected to the Internet and has no access to external information. Instead, it is based on the data with which it has been trained to generate answers.
This data includes a wide range of texts from a variety of sources, including books, articles and websites.
