Enhancing AI with Real-Time Data - Unlocking Contextual Insights

Watch a 44-minute Data Science Festival conference talk exploring how real-time data integration can enhance AI systems and Large Language Models (LLMs) to provide more contextually relevant and up-to-date responses. Discover how RAG (Retrieval Augmented Generation) techniques can be leveraged to overcome the limitations of static training data, enabling AI systems to incorporate current information into their outputs. Learn from Tom Scott of Streambased as he presents high-level technical insights on implementing real-time data solutions to improve AI applications, from chatbots to product reviews, making them more accurate and contextually aware. Originally presented at the Data Science Festival Oktoberfest 2024 event, this talk demonstrates practical approaches for data scientists and software engineers to maximize the potential of combining real-time data with modern AI systems.