Boosting Language Models with Retrieval Augmented Generation 🚀 - Computerphile

More about Jane Street internships at: https://jane-st.co/internship-computerphile (episode sponsor) Mike Pound discusses how Retrieval Augmented Generation can improve the performance of Large Language Models. Mike is based at the University of Nottingham's School of Computer Science. https://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: https://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at https://www.bradyharanblog.com Thank you to Jane Street for their support of this channel. Learn more: https://www.janestreet.com