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Details

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

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 - Hakan Tekgul, Evaluating RAG pipelines built on unstructured data
6:35 - 7:00 - James Luan, Milvus
7:05 - 7:30 - Max Mathys, Gandalf: Insights from the World's Largest Red Team
7:35 - 7:45 - Community demo
7:45 - 8:30 - Networking

​​​Tech Talk 1: Evaluating RAG pipelines built on unstructured data
Speaker: Hakan Tekgul, 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.

Tech Talk 3: Gandalf: Insights from the World's Largest Red Team
Speaker: Max Mathys, ML Engineer, Lakera AI
Abstract: Gandalf is a challenge where people can attack LLMs with prompt attack techniques. It has been played by 7M+ players and recorded 10M+ successful attacks against LLMs. This talk analyses different types of attacks that actual players came up with and how you should defend against these attacks.

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 using this form is required to get into the event. Registration in advance will close 2 days before the event. Sponsored by Zilliz (maintainers of Milvus) and Arize.

Related topics

Events in San Francisco, CA
Data Science
New Technology
Database Development
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