AI Superstream: Retrieval-Augmented Generation (RAG) in Production
Published by O'Reilly Media, Inc.
Leveraging Your Data for AI Applications
Retrieval-augmented generation (RAG) has the potential to revolutionize how machines understand and generate human language. Join us to learn how to leverage the pioneering concepts and emerging technologies behind RAG in production environments today.
Leading experts in the field will help you unravel the mysteries of integrating traditional generative models with the latest retrieval techniques to enhance the relevance, accuracy, and contextuality of generated text. You’ll discover the practicalities of meshing RAG with your current systems, get tips on optimizing your information retrieval processes, find out how to overcome common hurdles in production deployment, and much more.
We’re still working on finalizing the schedule for this event. Please check back closer to the event date for more information.
About the AI Superstream Series: This three-part series of half-day online events is packed with insights from some of the brightest minds in AI. You’ll get a deeper understanding of the latest tools and technologies that can help keep your organization competitive and learn to leverage AI to drive real business results.
Your Host
Susan Shu Chang
Susan Shu Chang is a principal data scientist at Elastic (of Elasticsearch), with previous ML experience in fintech, telecommunications, and social platforms. Susan is an international speaker, with talks at six PyCons worldwide and keynotes at Data Day Texas, PyCon DE & PyData Berlin, and O’Reilly’s AI Superstream. She writes about machine learning career growth in her newsletter, susanshu.substack.com. In her free time she leads a team of game developers under Quill Game Studios, with multiple games released on consoles and Steam.
