Cover Image for Unstructured Data Meetup SF

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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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462 Going

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Generative AI San Francisco and Bay Area

Unstructured Data Meetup SF

Name: Unstructured Data Meetup SF
Start: 2024-08-05T17:30:00.000-07:00
End: 2024-08-05T20:30:00.000-07:00
Location: GitHub

Unstructured Data Meetup

GitHub

San Francisco, California

Past Event

Welcome! To join the event, please register below.

You will be asked to verify token ownership with your wallet.

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 - Charles Xie, CEO, Zilliz
6:35 - 7:00 - Robertson Taylor, Solutions Engineer, marqo.ai
7:05 - 7:30 - Aamir Shakir, Co-founder, mixedbread.ai
7:35 - 7:45 - Community demo
7:45 - 8:30 - Networking

Tech Talk 2: A Different Angle: Retrieval Optimized Embedding Models
Speaker: Robertson Taylor
Abstract: When doing embedding retrieval, we rarely want just one piece of information from our document corpus. Whether we’re searching through academic papers or an ecommerce product catalog, we want multiple results which are ranked based on the query.
Marqo’s fine-tuning approach, Generalized Contrastive Learning (GCL), moves beyond the binary relationships used to train existing models. GCL introduces both rank and query-awareness to text-only and multimodal models, significantly improving relevance, especially when using user-interaction data.
In this talk, we’ll discuss how GCL works, and ways people are using it in the real world.

Tech Talk 3: Building the Future of Neural Search: How to Train State-of-the-Art Embeddings
Speaker: Aamir Shakir
Abstract: Neural search plays a crucial role in Retrieval Augmented Generation (RAG) and various other AI use cases. In this talk, we will discuss the future of neural search, explore interesting challenges we are addressing, and explain how we build our state-of-the-art embedding model, which helps to develop high-quality RAG systems at scale.

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

When:
Aug 5, 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.

Can’t make it in person? Join us virtually on Twitch:
https://www.twitch.tv/vectordatabase

Location