Welcome to the monthly AI meetup in Seattle. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developers.

Agenda:
- 5:00pm~5:50pm: Checkin, food/drink and networking
- 5:50pm~6:00pm: Welcome, Community update
- 6:00pm~7:30pm: Tech talks and Q&A
- 7:30pm~8:00pm: Open discussion and Mixer
- 8:00pm: closing and head to bar

Tech Talk: Practical Evaluation of LLMs and LLM Systems
Speaker: Andrei Lopatenko
Abstract: In-Depth Analysis of LLM Evaluation Methods: Gain insights into various methods used to evaluate LLM models, understanding their strengths and weaknesses. End-to-End Evaluation Techniques: Explore how LLM augmented systems are assessed from a holistic perspective, ensuring comprehensive evaluation. Pragmatic Approach to System Deployment: Learn practical strategies for applying evaluation techniques to real-world systems, ensuring seamless deployment and functionality. Focused Overview on Critical LLM Aspects: Get an overview of essential evaluation techniques for assessing crucial elements of modern LLM systems, enhancing understanding and applicability. Simplifying the Evaluation Process: Understand how to streamline the evaluation process, making the work of LLM scientists more efficient and productive.

Tech Talk: Customizing Vector Search
Speaker: Yujian Tang (Zilliz)
Abstract: 2014 was the rise of big data, 10 years later, few things have changed. Data is still the most important piece of the stack. It is just that now that we have solved a majority of our data problems, it is time to move downstream to embeddings and embedding models. Vector embeddings are the quantitative representation of qualitative data. We can use them to unlock insights previously thought unreachable. In this talk, we will cover why vector embeddings are so important in the modern AI paradigm, how you can generate them, and what they are.

Tech Talk: Speech Processing with AI
Speaker: Pranav Gupta (Lowe's Companies)
Abstract: In this session, I will cover the challenges of speech processing and give a historical perspective on how models have successively improved over time, what makes speech exciting, and what lies ahead for us as data science practitioners .

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 AI developers community.  Whether it is by offering venue spaces, providing food, or cash sponsorship. Sponsors will not only speak at the meetups, receive prominent recognition, but also gain exposure to our extensive membership base of 20,000+ AI developers in Seattle or 350K+ worldwide.

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