Generative AI and LLMs Meetup - Seattle

Sep 21, 05:00 PM PDT
  • US-Seattle (GitHub, 10900 NE 4th St, Floor 21, Bellevue, WA 98004...) AICamp
  • 231 RSVP

Welcome to our in-person monthly AI meetup in Seattle, in collaboration with GitHub. Join us for deep dive tech talks on AI/ML, food/drink, networking with speakers & peers developers, and win lucky draw prizes.

* 5:00pm~5:30pm: Checkin, Food/drink and networking
* 5:30pm~5:40pm: Welcome/community update/Sponsor intro
* 5:40pm~7:30pm: Tech talks
* 7:30pm~8:00pm: Open discussion, Lucky draw & Mixer

Tech Talk 1: GitHub Copilot
Speaker: Ryan Salva @GitHub
Abstract: What does it take to bring an AI product to market? How can todays start-ups differentiate themselves? In a gold-rush market, it is about more than just finding product-market fit. Founders also need to differentiate themselves from a tidal wave of competitors all using the same or similar models. Drawing on his own experience, VP of Product, Ryan J. Salva, shares lessons-learned building one of the worlds first, at-scale generative AI products: GitHub Copilot

Tech Talk 2: Enter the Brave New World of GenAI with Vector Search
Speaker: Mary Grygleski @DataStax
Abstract: We will go over the history and evolution of AI and ML, then look at how it has evolved to where it is today. We will touch upon as many new concepts that have popped up in the last 6-9 months, which include: Generative AI (GenAI), ChatGPT, Large Language Models (LLMs), Natural Language Processing (NLP), Vector DB, and the growing importance of Vector Search. We will also point out the new operational concerns when it comes to managing the life-cycle of a machine learning environment. We will then look at a demo on how Vector Search is being done behind the scenes. We will discuss the benefits of this new wave of technology as well as the challenges that it brings to the industry and the marketplace.

Tech Talk 3: Declarative Reasoning with Timelines: The Next Step in Event Processing
Speaker: Ben Chambers, ML CTO @Kaskada
Abstract: While the power of event processing has increased since the emergence of streaming data processing, current systems are still difficult to use when working on problems that deal with time and order, such as predictive AI/ML. Handling these problems requires a new kind of query language - a way to declaratively reason about events over time.
In this talk, we introduce the concept of timelines. Timelines are an intuitive abstraction for reasoning about temporal values. They support a broad range of useful operations which can be efficiently computed at scale. We will demonstrate the power and differentiation of timelines:
- How timelines allow declarative queries over events and time in a simple and intuitive manner;
- Why timelines are ideal for applications such as behavioral predictions, trend analysis, and forecasting, and how existing solutions such as streaming SQL fall short;
- How to execute timeline based queries using the open-source Kaskada event-processing engine.

GitHub, 10900 NE 4th St, Floor 21, Bellevue, WA 98004
Follow Google map for driving and parking info.

Lucky draw
We will raffle winners for prizes during the event. To enter the lucky draw, "comment" the post on LinkedIn: LinkedIn Post

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

Jon Peck

The event ended.
Watch Recording
*Recordings hosted on Youtube, click the link will open the Youtube page.
Contact Organizer