AI Deep Dive: LLMs and Vector Databases

Name: AI Deep Dive: LLMs and Vector Databases
Start: 2023-09-06T18:00:00+01:00
End: 2023-09-06T20:30:00+01:00
Location: Cathedral View

Cathedral View, Carlisle Place, Greater London, SW1P 1NL

GDG Cloud London

Sep 6, 2023, 5:00 – 7:30 PM

50 RSVP'd

Key Themes

AIDataMachine Learning

About this event

** Raffle at the end: two Designing Machine Learning Systems, O'Reilly
GDG Cloud London is thrilled to be collaborating with AICamp (https://www.meetup.com/London-AI-Tech-Talk/) for a deep dive into the AI world.
The event will be held at Cathedral View, Carlisle Place, St. Vincents Centre, London, SW1P 1NL.
This meet-up is a unique opportunity to connect with fellow AI enthusiasts, industry practitioners, and researchers in a dynamic and interactive setting. Whether you are a seasoned AI professional or just curious about the latest advancements in Generative AI, LLMs and Vector Databases, this meet-up is for you! Join us for an insightful and thought-provoking discussion on the forefront of AI innovation and practices.
This event is sponsored by Weativate.
At the end of the event, we'll give away two O'Reilly books: Designing Machine Learning Systems (paperback).
Don't miss out, RSVP now!

When

Wednesday, September 6, 2023
5:00 PM – 7:30 PM UTC

Where

Cathedral View
Carlisle Place
Greater London, SW1P 1NL

Agenda

Arrivals and Check In
Welcome / Community Update
Zain Hasan - Using Vector Databases with Multimodal Embeddings and Search At Scale	Many real-world problems are inherently multimodal, from the communicative modalities humans use such as spoken language and gestures to the force, proprioception, and visual sensors ubiquitous in robotics. In order for machine learning models to address these problems and interact more naturally and wholistically with the world around them and ultimately be more general and powerful reasoning engines we need them to understand data across all of its corresponding image, video, text, audio, and tactile representations. In this talk we will discuss how we can use open-source multimodal models, that can see, hear, read, and feel data(!), to perform cross-modal search(searching audio with images, videos with text etc.) at the billion-object scale with the help of open source vector databases. I will also demonstrate, with live code demos and large-scale datasets, how being able to perform this cross-modal retrieval in real-time can help users add natural search interfaces to their apps. This talk will revolve around how we scaled the usage of multimodal embedding models in production and how you can add cross-modal search into your apps.
JP Hwang - Bringing LLMs to Your Data	In this talk, JP explains how Weaviate redefines what you thought was possible in a database. JP will begin by showing how you can use Weaviate to effectively search data, before moving on to show you how you can use generative search (retrieval augmented generation) with Weaviate to transform your data at retrieval time with LLMs.
Raffle and Networking