Workshop: Building Smarter and Safer AI: A Journey from Secure Chatbot Development to Advanced RAG Systems
Workshop 1 - Secure Chatbot Development: An Introductory Guide for Aspiring Chatbot Developers
The utilization of chatbots has seen a rapid increase since 2021, with not only tech-savvy individuals but also government organizations adopting these tools to provide 24/7 services to users. Large Language Model (LLM) chatbots like ChatGPT and CoPilot offer multilingual support and deliver more nuanced and efficient responses than simple search engines. These models can quickly analyze and identify patterns from vast amounts of data across the web, enabling them to provide precise information within seconds, an endeavor that would otherwise take users much longer to achieve through traditional searching methods. Furthermore, chatbots have the ability to generate content based on user inputs which surpasses human capabilities in managing complex data within a short timeframe.
This workshop focuses on a comprehensive review of exploitations involving LLM-powered chatbots, systematically analyzing attack patterns and remediation strategies.
In addition to learning about measures and practices to ensure chatbot security in chatbot developments, participants will also have the opportunity to provide feedback and ideas to help shape and improve future iterations of the handbook.
Workshop 2 - Optimizing RAG Systems: Techniques and Evaluation Methods for Chatbot Developers
There’s no one-size-fits-all strategy when it comes to Retrieval-Augmented Generation (RAG), which is why researchers are constantly developing new ideas and techniques to improve it.
In this workshop, we’ll cover some of these innovative approaches to enhance RAG systems. Additionally, to effectively evaluate their performance, we’ll explore methods to benchmark and assess the accuracy of these techniques. Join us to discover how to improve and measure the effectiveness of your RAG models.