Speaker: Fabio Petroni (Samaya AI)
Retrieval Augmented Generation (RAG) is a technique we proposed in 2020 that
allows generative AI models to access external information, enhancing their
responses to prompts. Since then, the popularity of this approach has
skyrocketed, becoming the de facto standard for handling knowledge-intensive
tasks in both academia and industry. In this talk, I will describe various
applications of RAG, including improving Wikipedia verifiability and
providing a glimpse into the work we’re doing at Samaya AI. I will then
discuss some limitations of this architecture, such as the “lost in the
middle” effect, and conclude by outlining future research directions that I
find most exciting.
22/10/2024 15:00, Aula Magna, DIAG, Via Ariosto 25, Roma.
Short Bio: Fabio Petroni is the Co-Founder and CTO of Samaya AI, specializing in the intersection of AI and knowledge. He holds a Ph.D. in Engineering of Computer Science from Sapienza University and has extensive research experience at industrial labs, including the FAIR team at Meta AI and the R&D department at Thomson Reuters. Fabio is renowned for his research on knowledge-intensive NLP, highlighted by awards such as first place in the NeurIPS Efficient Open-Domain Question Answering competition in 2020 and the Google Best Paper Award at AKBC 2020. He has authored multiple high-impact publications, including “Language Models as Knowledge Bases?” and the original RAG paper.*Zoom* link to attend remotely: https://uniroma1.zoom.us/j/83261382718