Where does ChatGPT get its data?

ChatGPT is a language model that was trained on a vast amount of data from the internet, specifically the Common Crawl dataset. This dataset contains billions of web pages and includes a wide range of content, including text, images, and videos.

The training data for ChatGPT consists of text data from various sources, such as books, articles, and websites. The text data is preprocessed to remove unnecessary elements such as HTML tags and is then used to train the language model.

In addition to the Common Crawl dataset, ChatGPT may also be fine-tuned on specific datasets to improve its performance in certain domains, such as finance or healthcare. These datasets are typically curated to include relevant text data from specific sources.

It's worth noting that the quality and diversity of the training data can have a significant impact on the performance of the language model. Therefore, great care is taken to ensure that the data used to train ChatGPT is representative of the real world and contains a diverse range of content.