ChatGPT provides a response based on a prompt. The current public release of ChatGPT uses information found on the internet to generate responses to prompts, but is not a search engine. It “learns” through access to information curated by researchers, developers, and ongoing input from its users—which may contain errors, misconceptions, or bias. Of course this field is developing rapidly, and at the time of publishing these guidelines, similar tools are being adopted by search engines like Google. Verification and triangulation of information is important if using ChatGPT, as it is unable to distinguish between important and unimportant errors.

Large Language Models, like ChatGPT, are trained to predict the next word in a sentence, given the text that has already been written. Early attempts at addressing this task (such as the next-word prediction on a smartphone keyboard) are only coherent within a few words, but as the sentence continues, these earlier systems quickly digress. A major innovation of models such as GPT is their ability to pay attention to words and phrases which were written much earlier in the text, allowing them to maintain context for much longer and in a sense remember the topic of conversation. This capacity is combined with a training phase that involves looking at billions of pages of text. As a result, models like ChatGPT, and its underlying technology are good at predicting what words are most likely to come next in a sentence, which results in generally coherent text.

Yes, you can now view and continue your past conversations.

ChatGPV is a complete generative AI solution that allows you to generate both text and images. We source from OpenAI and a collection of other models, including our own. Our technology is able to distinguish the best combination of models for a specific use-case. This approach helps make outputs better.