Generative AI in Production & Advancements

Unleash the power of Generative AI! This track dives into the latest advancements, exploring how to translate groundbreaking research into real-world applications across various industries. Discover how to navigate the challenges and unlock the potential of AI-generated content, data, and code.

From this track

Session

Navigating LLM Deployment: Tips, Tricks, and Techniques

Self-hosted Language Models are going to power the next generation of applications in critical industries like financial services, healthcare, and defense.

Speaker image - Meryem Arik
Meryem Arik

Co-Founder @TitanML

Session

LLM Powered Search Recommendations and Growth Strategy

In this deep exploration of employing Large Language Models (LLMs) for enhancing search recommendation systems, we will conduct a technical deep dive into the integral aspects of developing, fine-tuning, and deploying these advanced models.

Speaker image - Faye Zhang
Faye Zhang

Senior Software Engineer

Date

Tuesday Nov 19 / 10:35AM PST

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Track Host

Hien Luu

Sr. Engineering Manager @DoorDash & Author of Beginning Apache Spark 3, Speaker and Conference Committee Chair

Hien Luu is a Sr. Engineering Manager at DoorDash, leading the Machine Learning Platform team. He is particularly passionate about building scalable AI/ML infrastructure to power real-world applications. He is the author of the Beginning Apache Spark 3 book. He has given presentations at various conferences such as MLOps World, QCon (SF,NY, London), GHC 2022, Data+AI Summit, XAI 21 Summit, YOW Data!, appy().

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