Enterprise LLMs Summit

If you need technical support or your participant link
email: events@snorkel.ai

Large language models (LLMs) are rapidly transforming the enterprise and have the potential to revolutionize the way we work. During this free 3-hour virtual summit, you’ll learn how enterprises can harness the power of LLMs to deliver tangible results today and see real-world examples of the latest in LLM fine-tuning, distillation, and data development.

This virtual summit will bring together leading experts on LLMs to share their insights and best practices on how to use LLMs to drive innovation and business growth within the enterprise. 

Topics covered

• The role of data in the age of LLMs
• Case study on customization of production LLMs
• When to use prompt engineering, RAG, and fine-tuning
• How to fine-tune and customize an LLM
• Instruction tuning of LLMs
• Distilling LLMs into smaller, production-friendly ML models
• Live Q&A with all speakers

Who should attend?

This summit is for anyone who is interested in learning more about how to use LLMs in the enterprise. This includes:

• Business leaders
• Data scientists
• Machine learning engineers
• Product managers
• Innovation professionals

Speakers

Alex Ratner, CEO and Co-Founder at Snorkel AI
Dr. Ali Arsenjani, Director, AI/ML Partner Engineering at Google
Christopher Glaze, Research Scientist at Snorkel AI
Douwe Kiela, CEO / Co-Founder at Contextual AI
Hoang Tran, ML Engineer at Snorkel AI
Jason Fries, Research Scientist at Snorkel AI
Joe Spisak, Director of Product Management | Generative AI at Meta
Paroma Varma, Co-Founder at Snorkel AI
Percy Liang, Associate Professor, at Stanford University
Rebekah Westerlind, Software Engineer at Snorkel AI
Vincent Chen, Director of Product, Technical at Snorkel AI

Agenda

9:00 AM Pacific
Fireside chat with Percy Liang and Alex Ratner
Alex Ratner, Snorkel AI and Percy Liang, Stanford University

9:25 AM Pacific
Fireside chat with Douwe Keila and Alex Ratner
Alex Ratner, Snorkel AI and Douwe Keila, Contextual AI

9:50 AM Pacific
Accelerating production-ready GenAI
Vincent Chen, Snorkel AI and Joe Spisak, Meta

10:10 AM Pacific
Art of data development for LLMs
Paroma Varma, Snorkel AI and Dr. Ali Arsanjani, Google

10:30 AM Pacific
How to fine-tune and customize LLMs
Hoang Tran, Snorkel AI

10:50 AM Pacific
Scalable AI data development for instruction tuning: A case study with RedPajama
Chris Glaze, Snorkel AI

11:10 AM Pacific
Better not Bigger: Distilling LLMs into specialized models
Jason Fries, Snorkel AI

11:30 AM Pacific
Live Q&A with select panelists

12:00 PM Pacific
Wrap-up