Webinar
A Table is Worth 1000 Words
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What will you learn?
Tables form the backbone of modern data storage, powering everything from relational databases to enterprise systems. Yet despite their ubiquity, we've barely scratched the surface of their potential. While Deep Learning has revolutionized our ability to process text and images, its impact on tabular data has been surprisingly limited. This gap is now being bridged through groundbreaking research in multimodal modeling, particularly with innovations like the TableGPT2 model. In this talk, we'll explore how these new multimodal foundation models are trained to understand tabular data, and demonstrate practical ways to unlock hidden value in your organization's data assets.
Meet the Speaker
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Stefan Webb
Developer Advocate, Zilliz
Stefan Webb is a Developer Advocate at Zilliz, where he advocates for the open-source vector database, Milvus. Prior to this, he spent three years in industry as an Applied ML Researcher at Twitter and Meta, collaborating with product teams to tackle their most complex challenges. Stefan holds a PhD from the University of Oxford and has published papers at prestigious machine learning conferences such as NeurIPS, ICLR, and ICML. He is passionate about generative AI and is eager to leverage his deep technical expertise to contribute to the open-source community.