Abstract
Our panel is a conversation that aim to explore the practical and operational challenges of implementing LLMs in production. Each of our panelists will share their experiences and insights within their respective organizations.
The panel will provide a view of the current state of LLMs in production environments. Our goal is to stimulate thoughtful conversation and exchanges of ideas among AI researchers, software engineers and tech leaders. We strive to foster a nuanced understanding of the current landscape of LLMs in production and anticipate its future directions.
Speaker
Sherwin Wu
Technical Staff @OpenAI
Sherwin is a Member of Technical Staff at OpenAI. He works on the Developer Platform team, which is responsible for the products that allow developers to build products on top of OpenAI models and capabilities.
Speaker
Hien Luu
Sr. Engineering Manager @DoorDash
Hien Luu is a Sr. Engineering Manager at DoorDash, leading the Machine Learning Platform team. He is particularly passionate about the intersection between Big Data and Artificial Intelligence. He is the author of the Beginning Apache Spark 3 book. He has given presentations at various conferences such as Data+AI Summit, XAI 21 Summit, MLOps World, YOW Data!, appy(), QCon (SF,NY, London).
Speaker
Rishab Ramanathan
Co-founder & CTO @Openlayer
Rishab is the co-founder & CTO of Openlayer. Openlayer is a YC-backed company that aims to make it easy for ML teams to test their models, diagnose underlying failure patterns, and take corrective action. Think Postman for ML. Rishab graduated from Yale in 2019, and subsequently worked at Apple on a variety of projects within their AI/ML org before founding Openlayer.
Date
Wednesday Jun 14 / 05:25PM EDT ( 50 minutes )
Location
Salon D
Video
Video is not available
Slides
Slides are not available
