diff --git "a/_events/2023-11-08-paul-r\303\266ttger.md" "b/_events/2023-11-08-paul-r\303\266ttger.md" index 8892f06..7f33b54 100644 --- "a/_events/2023-11-08-paul-r\303\266ttger.md" +++ "b/_events/2023-11-08-paul-r\303\266ttger.md" @@ -3,12 +3,12 @@ title: "LLM Safety: What does it mean and how do we get there?" abstract: AI safety, and specifically the safety of large language models (LLMs) like ChatGPT, is receiving unprecedented public and regulatory attention. In my talk, split into two parts, I will try to give some more concrete meaning to this often nebulous topic and the challenges it poses. First, I will define LLM safety with a focus on near-term risks and explain why LLM safety matters, countering common arguments against this line of work. I will also give an overview of current methods for ensuring LLM safety, from red-teaming to fine-grained feedback learning. Second, I will zoom in on imitation learning, where models are trained on outputs from other models, as a particularly common way of improving the capabilities of open LLMs. I will talk about our own work in progress on safety by imitation, where we extend imitation learning to safety-related behaviours. I will present the resources we have built already, and then transition into an open discussion about our hypotheses and planned experiments, followed by a Q&A to close out the hour. speaker: Paul Röttger
PostDoc in MilaNLP Lab at Bocconi University -bio: Paul is a postdoctoral researcher in Dirk Hovy‘s MilaNLP Lab at Bocconi University. His work is located at the intersection of computation, language and society. Right now, he is particularly interested in evaluating and aligning social values in large generative language models, and, by extension, in AI safety. Before coming to Milan, he completed his PhD at the University of Oxford, where he worked on improving the evaluation and effectiveness of large language models for hate speech detection. For more info, please visit Paul’s website. +bio: Paul is a postdoctoral researcher in Dirk Hovy‘s MilaNLP Lab at Bocconi University. His work is located at the intersection of computation, language and society. Right now, he is particularly interested in evaluating and aligning social values in large generative language models, and, by extension, in AI safety. Before coming to Milan, he completed his PhD at the University of Oxford, where he worked on improving the evaluation and effectiveness of large language models for hate speech detection. website: https://paulrottger.com/ time: November 8, 2023; 11:00–12:00 location: Akademiestr. 7, room 218A (meeting room) roomfinder: https://mainlp.github.io/contact/ -img: assets/img/paul-rottger.jpeg +img: paul-rottger.jpeg imgalt: Portrait of Paul Röttger imgside: right anchor: 2023-11-08-paul-röttger