In today's data-driven world, the ability to harness real-time data and transform it into actionable insights is a paramount challenge. Large Language Models (LLMs) have emerged as powerful tools for generating prompts and uncovering valuable information from vast datasets. This talk will unveil a novel approach to address this challenge by utilizing Apache Pulsar, a highly scalable event streaming platform, as the conduit for real-time data streaming into LLM models.

Our discussion will delve into the seamless integration of Apache Pulsar, showcasing its capabilities in facilitating the continuous flow of real-time data into LLM models. We will explore practical use cases and share insights into how this integration empowers organizations to stay at the forefront of data-driven decision-making.