🎥 Once a month, we'll meet, socialize, and hear speakers present topics on unstructured data and generative AI. This event was sponsored by Zilliz and SAP.
Timeline:
01:09 - GenAI is the new gold rush - an introduction from Chris Churilo, the host
10:47 - Speaker Kate Grossman, Harnessing the Power of Generative AI with Large Language Models in Human Capital Management
32:22 - Speaker Yi Wang, Multimodal Rag with Milvus
01:02:28 - Speaker Lisa N. Cao, Metadata Lakes for Next-Gen AI/ML
~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~
🎥 Playlist • Unstructured Data Meetup
🖥️ Website: www.meetup.com...
X Twitter - / milvusio
🔗 Linkedin: / zilliz
😺 GitHub: github.com/mil...
🦾 Invitation to join discord: / discord
~~~~~~~~~~~~~~ MEETUP VIDEO CONTENTS ~~~~~~~~~~~~~~
Host: Chris Churilo
LinkedIn: / chrischurilo
1. Speaker: Kate Grossman, SAP
Title: Harnessing the Power of Generative AI with Large Language Models in Human Capital Management
Abstract: The emergence of Generative AI, powered by large language models (LLMs), is revolutionizing the way enterprises manage and leverage their data. This talk dives into SAP's innovative use of LLMs and Generative AI to enhance business processes, improve decision-making, and drive operational efficiencies in the world of human capital management.
Slides: www.slideshare...
2. Speaker: Yi Wang, Zilliz
Title: Multimodal RAG with Milvus
Abstract: We've seen an influx of powerful multimodal capabilities in many LLMs. In this talk, we'll vectorize a dataset of images and texts into the same embedding space, store them in Milvus, retrieve all relevant data using multilingual texts and/or images and input multimodal data as context into GPT-4o.
Slides: www.slideshare...
3. Speaker: Lisa N Cao, Datastrato
Title: Metadata Lakes for Next-Gen AI/ML
Abstract: As data catalogs evolve to meet the growing and new demands of high-velocity, unstructured data, we see them taking a new shape as an emergent and flexible way to activate metadata for multiple uses. This talk discusses modern uses of metadata at the infrastructure level for AI-enablement in RAG pipelines in response to the new demands of the ecosystem. We will also discuss Apache (incubating) Gravitino and its open source-first approach to data cataloging across multi-cloud and geo-distributed architectures.
Slides: www.slideshare...
3 окт 2024
