A Helping Hand for LLMs (Retrieval Augmented Generation) - Computerphile @Computerphile
A Helping Hand for LLMs (Retrieval Augmented Generation) - Computerphile  @Computerphile
Uploaded September 2024 | Updated September 2026, 3 weeks ago
More about Jane Street internships at: 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.

facebook.com/computerphile
twitter.com/computer_phile

This video was filmed and edited by Sean Riley.

Computer Science at the University of Nottingham: bit.ly/nottscomputer

Computerphile is a sister project to Brady Haran's Numberphile. More at bradyharanblog.com

Thank you to Jane Street for their support of this channel. Learn more: janestreet.com
A Helping Hand for LLMs (Retrieval Augmented Generation) - ComputerphileDefining Cybersecurity with Gene Spafford - ComputerphileRust and RAII Memory Management - ComputerphileAI Sandbagging - ComputerphileWorld Foundation Models - ComputerphileQuantum Simulation & Nature - ComputerphileAutomated Mathematical Proofs - ComputerphileL Systems : Creating Plants from Simple Rules - ComputerphileAlternative Uses for Blockchain - ComputerphileFoundations of Data Visualisation - ComputerphileDefining Harm for Ai Systems - ComputerphileGenerative AIs Greatest Flaw - Computerphile
Computerphile |

A Helping Hand for LLMs (Retrieval Augmented Generation) - Computerphile

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER