This event is for adults only (21+).

As the year winds down and the holiday spirits ramp up, we invite you to the most electrifying AI meetup (end-of-year edition). Instead of our usual scheduled talks, we will throw the most exciting holiday bash for people who build AI!

Join AI developers, ML engineers, Data scientists and practitioners to celebrate all your hard work this year.

Agenda:
* 5:00pm: Checkin, Food and Networking
* 5:30pm: Welcome/Community update
* 5:45pm: Tech Talks and Q&A
* 8:00pm: Community Showcases
* 8:30pm: Open discussion and Happy Hour Mixer

Tech Talk: Building Context Augmented AI Chat in Practice
Speaker: Michal Srb @Convex
Abstract: Building a production-grade AI app takes more than running an ML model. In this talk we’ll discuss the tradeoffs between three different implementations of a full-stack AI chat app with context retrieval, using OpenAI’s latest APIs, LangChain and Convex. We’ll then argue for the path that allows the application to get the most out of current LLMs.

Tech Talk: Designing for Intelligence: Patterns & Practices for Making AI-Powered Products
Speaker: Idan Gazit @Github

Tech Talk: An introduction to multimodal applications with vector databases
Speaker: Sebastian Witalec @Weaviate
Abstract: The future is Multimodal. With the arrival of multimodal ML models like Meta ImageBind, we can all be part of the future... today! Join me to learn about mm models, where they come from, and to use them with your data to search across images, audio, video, and text content with an input of any modality. As a bonus, we will go over a cool MM RAG demo that will put a smile on your face.

Tech Talk: Redefining code reviews with AI
Speaker: Gur Singh @CodeRabbit
Abstract: Discover how CodeRabbit is using AI to accelerate the code reviews and improve the code quality. Explore CodeRabbit’s exciting features which help developers ship high quality software at speed

Tech Talk: Customizable RAG workflows with (or without) OpenAI
Speaker: Christy Bergman @Zilliz
Abstract: We all have heard that the key to success with GenerativeAI applications is good data! Corporate data is often drastically different from general Internet data, which is what most foundation models are trained on. In this talk, you’ll learn best practices, insights, and advanced techniques for improving performance of genAI workflows using your own data.

Tech Talk: Why you should build your GenAI/LLM apps using Hamilton
Speaker: Stefan Krawczyk @DAGWorks
Abstract: Building GenAI/LLM based applications involves shipping code. How you write and structure your code impacts how quickly you can move and change your code base to react to/incorporate the latest innovations being shipped each week. In this talk I’ll present some of these common challenges, and how using Hamilton, an open source library that came out of Stitch Fix, can help keep you agile and nimble.

Startup Showcase:
We have 5~10 demo desks available for the community showcases and ~5 minutes quick demo on the stage. You are invited to apply here Community Showcase

Venue:
GitHub, 88 Colin P Kelly Junior Street, San Francisco, CA
How to find us: the entrance is located at 275 Brannan st.

Sponsors:
- GitHub, Convex, CodeRabbit, Zilliz, DAGWorks
We are actively seeking sponsors to support AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsor. Sponsors will have the chance to speak at the meetups, receive prominent recognition, and gain exposure to our extensive membership base of 30,000+ local or 300K+ developers worldwide.

Community on Slack
- Event chat: chat and connect with speakers and attendees
- Sharing blogs, events, job openings, projects collaborations
Join Slack (browse/search and join #sanfrancisco channel)