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GenAI Engineering: One Line at a Time

At Comet's Annual Convergence Conference

Virtual Event | May 13th -14th, 2025
+ Networking Reception, San Francisco

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Days of content

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SPEAKERS

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ATTENDEES ONLINE

As the industry transitions from traditional machine learning to generative AI, new challenges unique to LLMs are emerging. Convergence 2025 provides a platform to explore these shifts, with sessions on advanced LLM evaluation techniques, the potential of agentic AI, and the responsible use of generative AI. Join us to dive into the complexities of building and deploying LLM-based applications, and connect with others shaping the future of this rapidly evolving field.

ABOUT CONVERGENCE

The fourth edition of Comet’s Convergence Conference on May 13-14, 2025 will navigate GenAI Engineering: One Line at a Time. This two-day virtual event features over 25 expert-led sessions, including in-depth talks, technical panels, and interactive workshops. Connect with our global community at a networking reception in San Francisco. Engage with leading ML developers, data scientists, and industry experts as we address the latest developments in LLM technology and its significant impacts on AI. Be at the forefront of shaping an ethical and advanced AI landscape.

Two Days x Two Talk Tracks

We’re excited to offer two different tracks for Convergence 2025! Choose the track that best fits your interests and experience, or mix and match sessions from each!

Track 1: GenAI Foundations

For those learning how to build reliable GenAI systems,
one line at a time.

Learn the fundamentals of building GenAI systems—from architecture and optimization to debugging and evaluation. This track dives into the mechanics behind reliable LLM-powered apps, with practical, technical talks on RAG, evals, agents, and more.

Track 2: GenAI in Practice

For those looking to go beyond the fundamentals
and into the field.

Explore real-world GenAI applications and learn from the engineers and leaders deploying them as they share how they scale infrastructure, address safety and evaluation challenges, and navigate edge cases and changing regulations.

| Schedule |

Day 1 | Tuesday May 13

12:00PM ET

INTRODUCTION

12:10PM ET

Track 1: GenAI Foundations

Albert Lie – Co-Founder at Forward Labs

12:10PM ET

Track 2: GenAI in Practice

Hugo Bowne-Anderson – Data Science Educator and Vanishing Gradients Host

12:40PM ET

Track 2: GenAI in Practice

Allegra Guinan – Co-Founder & CTO at Lumiera

1:10PM ET

Track 1: GenAI Foundations

Alex Shershebnev – ML/DevOps Lead at Zencoder

1:10PM ET

Track 2: GenAI in Practice

Carolyn Olsen – VP of Data Science at Clearcover Insurance

1:40PM ET

Track 1: GenAI Foundations 

Parker Duckworth – Director of Database Engineering at Weaviate

1:40PM ET

Track 2: GenAI in Practice

Sawan Ruparel – Vice President of Engineering at BCGX

2:10PM ET

15 MIN BREAK

2:25PM ET

Gideon Mendels – CEO at Comet 

Shadi Copty – Director, Llama Partner Engineering at Meta

Jeremy Mumford – Lead AI Engineer at Pattern 

João Moura – CEO at CrewAI

3:10PM ET

Track 1: GenAI Foundations 

Jasleen Singh – Senior Principal Software Engineer at Dell

3:10PM ET

Track 2: GenAI in Practice

Paarth Chothani – Staff Software Engineer at Uber

Xandra Zhu – Machine Learning Engineer at Uber

Jonathan Li – Software Engineer at Uber

3:40PM ET

15 MIN BREAK

3:55PM ET

Track 1: GenAI Foundations

Ram Ganesh – Senior Data Scientist at Mastercard

3:55PM ET

Track 2: GenAI in Practice

Nikhil Kassetty – Senior Software Engineer – AI and Fintech Expert at Intuit

4:25PM ET

Track 2: GenAI in Practice

Kailash Thiyagarajan – Senior Machine Learning Engineer at Apple

4:25PM ET

Track 1: GenAI Foundations 

Rajarshi Tarafdar – Senior Software Engineer at JP Morgan Chase

4:55PM ET

DAY 1 WRAP UP

Day 2 | Wednesday May 14

12:00PM ET

INTRODUCTION

12:05PM ET

Vince Koc – Lead AI Research Engineer at Comet 

Claire Longo – Lead AI Research Engineer at Comet

1:35PM ET

15 MIN BREAK

1:50PM ET

Doug Blank – Head of Research at Comet

3:20PM ET

15 MIN BREAK

3:35PM ET

Leonardo Gonzalez – VP of AI Center of Excellence at Trilogy

4:45PM ET

DAY 2 WRAP UP

Some Participating Companies

Gong logo
X logo
Wayfair logo
Carvana logo
Intel logo
Syngenta logo
Microsoft logo
JLG logo
Rocket Central logo
FeatureForm logo
University of Cambridge logo
NatWest Group logo
PayPal logo
ARGMAX.ai logo
Tecton logo
Hugging Face logo
GitLab logo
MailChimp logo
Slice logo
Allen Institute for AI logo
Dun & Bradstreet logo
Walmart global tech logo
comcast logo
google logo
mastercard logo
chegg logo

Some Topics Covered

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Federated Machine Learning

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AI Governance

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Diffusion Models

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Scalability and LLMOps

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LLM Security

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Vector Databases/Search

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LLMs in Production

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Vision Transformers

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Multilingual LLMs

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Model Pruning & Distillation

WHY ATTEND CONVERGENCE?

Attending Convergence is the perfect opportunity to be at the forefront of GenAI Engineering. For ML professionals, this annual conference offers a deep dive into the technical intricacies of LLMs, equipping you with the latest tools and methods in prompt engineering and LLM evaluation. Software Engineers entering the field will find accessible sessions that provide the foundational knowledge necessary to start building and deploying generative AI applications effectively. It’s an essential platform for those looking to enhance their expertise, keep pace with rapid advancements in AI, and contribute to the ethical development of new AI technologies.

Register for

Convergence 2025

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