Join us for a power-packed night of learning, sharing, and networking at AI Dev Day - Seattle. We are excited to bring the AI developer community together to learn and discuss the latest trends, practical experiences, and best practices in the field of AI, LLMs, generative AI, and machine learning.

In addition to the tech talks, there will be plenty of opportunities to network with AI developers, live demos by AI startups, panel discussion, and career opportunities.

Agenda:
- 5:00pm~5:50pm: Checkin, food/drink and networking
- 5:50pm~6:00pm: Welcome, Community update
- 6:00pm~8:00pm: Tech talks, and panel
- 8:00pm~8:30pm: Q&A and Open discussion

Tech Talk 1: Democratizing access to data with LangChain and LLMs
Speaker: Aanu Jibodu, Jack Lauritsen @Teradata
Abstract: Join Aanu and Jack as they build and demo a Generative AI Question Answering system using Teradata VantageCloud and LangChain. They will share how you can easily retrieve relevant information from Teradata VantageCloud database tables and generate accurate and concise answers based on the retrieved data. For this session, Aanu and Jack will use Teradata VantageCloud as an example but the solution presented will work with any database. The combination of Retrieval-Augmented Generation (RAG), LangChain, and Large Language Models, explored during this session, will provide attendees with a helpful approach for extracting knowledge from structured sources and delivering user-friendly responses.

Tech Talk 2: LLMs for Human Conversation: The History, the Nuances, and the Future
Speaker: Kartik Talamadupula @Symbl.ai
Abstract:In this talk, I will review the history of AI for conversation analysis, from early rule-based systems to the latest advances in large language models (LLMs). I will discuss the challenges of modeling the nuances of human conversation, and I will explore the potential of LLMs to address these challenges - including issues of context and token length, multilinguality, and multimodality.

Tech Talk 3: Language Understand and Generation, a RAG Implementation
Speaker: Sean Wu @OpenCUI
Abstract: OpenAI function calling API represent the best developer experience when it comes to dialog understanding, unfortunately, it is expensive, and makes mistake for less popular domains, and most importantly, there is no good way to fix it. We will introduce the considerations in building the opencui/lug, an open sourced rag implementation that can substitute OpenAI function calling API with fully private deployed model for the extra privacy.

Speakers/Topics:
Stay tuned as we are updating speakers and schedules. If you have a keen interest in speaking to our community, we invite you to submit topics for consideration: Submit Topics

Venue:
GitHub, 10900 NE 4th St, Floor 21, Bellevue, WA 98004

Sponsors:
We are actively seeking sponsors to support our community. Whether it is by offering venue spaces, providing food/drink, 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 20k+ in local or 300K+ developers in global.

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 (browse channels and join the #seattle channel)