Generative AI chatbots create new content by predicting the word most statistically likely to appear next. The predictions are based on patterns observed in their training data, which contains incorrect and biased information, and post-training fine tuning using human feedback. Generative AI chatbots are not search engines and do not give a set of results in response to a specific search. They model human language, they do not "know" things.
AI chatbot responses can often include a mix of correct and incorrect information.
Dr. Stuart J. Russell, a Professor of Computer Science at UC Berkeley, explains Large Language Models with examples from GPT-4.
Duration: <1 minute
Computer scientist Yejin Choi explains massive artificial intelligence systems like ChatGPT.
Duration: 16:03 minutes, video highlights:
