In this webinar, we will present various techniques of using large language models (LLMs) and agents to build real-world data-centric applications. We will show these concepts in the context of Waii, a Text-2-SQL system with the highest-to-date achieved accuracy in Spider and TPC-DS benchmarks. We will cover common principles of working with in-context learning, retrieval augmented generation (RAG) architectures and agents. Attendees can expect to gain a better understanding of the current state-of-the-art in this exciting field and the challenges that lie ahead.

Bios:

Gunther Hagleitner is a seasoned product and engineering leader with a 20+ year track record in SQL and analytics. As SVP at Cribl and CVP at Cloudera, he focused on simplifying data through innovation and open-source. Gunther excels at both scaling products and teams as well as new product introductions. He is passionate about creating user-centric solutions that solve real-world problems.

Wangda Tan is an accomplished engineering leader with over 13 years of experience in machine learning, databases, and open-source software. With a track record that includes roles at Snowflake, Cloudera, and Alibaba, Wangda has proven his ability to lead teams and deliver results at scale. As a member of the Apache Foundation, he has contributed to some of the most widely used open-source projects in the world.

This webinar will not be recorded. Please book a time to speak with us if you can't make it: https://calendly.com/dc-waii

LLMs and data: Building data-centric applications with agent-based systems