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An evening for AI developers to learn about Prompt Learning - a prompt optimization technique designed to help agents evolve & self-improve at a low cost. See how making prompt updates using real agent data can lead to better improvement of your agents - even compared to reinforcement learning & fine-tuning.
Overview:
Join Arize & Couchbase at Betaworks NYC for an evening of technical talks, demos, & networking with fellow AI engineers.
Discover how to improve agent performance through prompt experimentation & learn why data foundations are critical for scaling AI applications.
Enjoy food, drinks, & great conversation with the NYC AI community.
Agenda
5:30 PM - 6:30 PM
Check-in, networking, food & drinks
6:30 PM - 7:00 PM
Talk: Improving Agents Through Prompt Learning
Priyan Jindal, Arize AI
Explore how prompt learning techniques & observability can help agents evolve & self-improve. See live examples of experimentation, tracing, & evaluation using real agent data.
7:00 PM - 7:30 PM
Talk: Rethinking Data Foundations for AI Agents at Scale
Vani Jaiswal, Couchbase
Learn why NoSQL databases are the backbone of scalable AI systems. Discover how Couchbase integrates with LLMs to deliver the speed, reliability, & context awareness needed for high-performance agents-plus a live demo.
7:30 PM - 7:40 PM
Community Demos
Showcase your projects or join to see what other developers are building.
7:40 PM - 9:00 PM
Networking, food, & drinks
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