From Toy to Production: Building LLM-Powered Systems that Work in the Real World
Join us for an insightful evening dedicated to scaling LLM-powered systems from experimental stages to real-world production environments.
This event brings together developers, researchers, and technology leaders to explore groundbreaking topics essential to building the next generation of robust AI-centric solutions, including:
AI Memory in LLM-powered Applications: Explore how intelligent memory management fuels efficiency, scalability, and performance.
Flexible Data Frameworks and Orchestration for LLM Use Cases: Gain insights into how adaptable data frameworks can streamline development and enable seamless scalability.
Evaluating and Troubleshooting LLMs in Production: Tools and methodologies to evaluate and troubleshoot LLMs in a production environment. With hands-on demos to understand how to diagnose and resolve common issues.
Best Practices in Generative AI Development and Deployment: Understand the ethical considerations, development paradigms, and deployment strategies in generative AI.
Engage in lively debates, practical workshops, and presentations from industry pioneers that illuminate the pathway from toy models to production-ready, scalable solutions. Whether you are an established professional or an aspiring AI engineer, this event promises to deepen your understanding of LLM-powered systems and inspire new ways to leverage its vast potential.
Let's transform ideas into reality together - reserve your spot today!
----
Agenda
5:30pm -- Doors open
6pm -- [Panel] From LLM Toy to Production - What It's Really Going to Take
7pm -- Tech talks and demonstrations
8:30pm -- Networking
Speakers
Jonathan Pedoeem: Founder, PromptLayer
Jerry Liu: Co-founder & CEO, Llamalndex
Chaoyu Yang, Founder & CEO, BentoML
Aparna Dhinakaran: Co-founder, Arize AI
Jason Lopatecki: Co-founder, Arize Al
Morgan Gerlak: Partner, TCV
Tumas Rackaitis: CTO, Rogo Data
Elan Dekel: VP Product, Pinecone
Lou Kratz: Principal Research Engineer, Bazaarvoice
Sally-Ann DeLucia: ML Solutions Engineer, Arize AI
