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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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Unstructured Data Meetup SF

Name: Unstructured Data Meetup SF
Start: 2024-11-19T17:30:00.000-08:00
End: 2024-11-19T20:30:00.000-08:00
Location: GitHub

Unstructured Data Meetup

GitHub

San Francisco, California

Welcome! To join the event, please register below.

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About Event

This is an in-person event! Registration is required to get in. Github will email you a form the day before the event, which you will need to complete for your access pass. Registration will close 2 days before the event.

Topic: Connecting your unstructured data with Generative LLMs

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 - John Gilhuly, DevRel, Arize
6:35 - 7:00 - Talk 2
7:05 - 7:30 - Talk 3
7:35 - 7:45 - Community demo
7:45 - 8:30 - Networking

Tech Talk 1: Evaluating RAG pipelines built on unstructured data
Speaker: John Gilhuly, 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:
Nov 19, 2024
5:30PM

Where:
This is an in-person event! Registration is required to get in. Registration will close 2 days before the event. Co-sponsored by Zilliz (maintainers of Milvus) and Arize.

Location