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


A Framework for Building Micro Metrics for LLM System Evaluation

LLM accuracy is a challenging topic to address and is much more multi dimensional than a simple accuracy score. In this talk we’ll dive deeper into how to measure LLM related metrics, going through examples, case studies and techniques beyond just a single accuracy and score.

Speaker image - Denys Linkov

Denys Linkov

Head of ML @Voiceflow, Linkedin Learning Instructor


10 Reasons Your Multi-Agent Workflows Fail and What You Can Do About It

Multi-agent systems – a setup where multiple agents (generative AI models with access to tools) collaborate to solve complex tasks – are an emerging paradigm for building applications.

Speaker image - Victor Dibia

Victor Dibia

Principal Research Software Engineer @Microsoft Research


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


GenAI for Productivity

At Wealthsimple, we leverage Generative AI internally to improve operational efficiency and streamline monotonous tasks. Our GenAI stack is a blend of tools we developed in house and third party solutions.

Speaker image - Mandy Gu

Mandy Gu

Senior Software Development Manager @Wealthsimple


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

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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