Cover Image for Unstructured Data Meetup South Bay Edition

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meetups for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs. This meetup is sponsored by Zilliz.

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Generative AI San Francisco and Bay Area

Unstructured Data Meetup South Bay Edition

Name: Unstructured Data Meetup South Bay Edition
Start: 2024-09-17T17:30:00.000-07:00
End: 2024-09-17T20:30:00.000-07:00
Location: Palo Alto, California

Unstructured Data Meetup

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Palo Alto, California

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About Event

This is an in-person event! Registration is required in order to get in.

Topic: Connecting your unstructured data with Generative AI

What we’ll do:
Have some food and refreshments. Hear three exciting talks about unstructured data and generative AI.

5:30 - 6:00 - Welcome/Networking/Registration
6:05 - 6:30 - Yi Ding
6:35 - 7:00 - Kunal Sonalkar, Data Scientist, Nordstrom
7:05 - 7:30 - Hakan Tekgul, Solutions Architect, Arize
7:45 - 8:30 - Networking

Tech Talk 1: Small to Slide: RAG using MultiModal LLMs.
Speaker: Yi Ding
Abstract: With the advent of LLMs understanding multimodal inputs, document understanding has a new tool in the arsenal. Elliot Kang and I built an example using Milvus and a real slide deck to show how you can use retrieval in combination with multimodal input to get better results from your existing powerpoint slides.

Tech talk 2: Transformers4rec: Harnessing NLP Advancements for Cutting-Edge Recommender Systems
Speaker: Kunal Sonalkar, Data Scientist, Nordstrom
Abstract: Transformers4rec is a powerful open-source library by NVIDIA that bridges the gap between natural language processing (NLP) and recommender systems. We will review how it leverages state-of-the-art Transformer architectures from NLP to enhance sequential and session-based recommendation tasks.

Tech Talk 3: Evaluating RAG pipelines built on unstructured data
Speaker: Hakan Tekgul, Solutions Architect, Arize
Abstract: This talk will cover different techniques for evaluating a RAG pipeline built on unstructured data. Standing up a basic RAG pipeline is becoming easier every day, however identifying weak points in your application or dataset remains a challenge. We'll review how you can use traditional assertion-based evaluation techniques, LLM-as-a-Judge approaches, and embedding visualization tools to improve your pipeline using Arize Phoenix.

Who Should attend:
Anyone interested in talking and learning about Unstructured Data and Generative AI Apps.

When:
September 17, 2024
5:30PM

Where:
This is an in-person event. Registration is required to get into the event. Registration in advance will close 2 days before the event.

This event is co-sponsored by Zilliz (maintainers of Milvus), SAP, and Arize

Location

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