Enterprise LLM Summit: Building GenAI with Your Data

Large language models (LLMs) are rapidly transforming the enterprise and have the potential to revolutionize the way we work. Learn how enterprises can harness the power of LLMs and use their data to deliver value with genAI from leading experts in the field of AI.

Topics covered include

• The role of data in the age of LLMs
• How data development is delivering enterprise value
• Best practices for building high-quality genAI
• RAG enrichment and representation model fine-tuning
• Synthetic data generation for LLM customization
• Case studies on customizing production LLMs in the enterprise

Sessions

Opening Keynote: Your enterprise will succeed or fail in AI depending on how you use your data
Alex Ratner, CEO and Co-Founder, Snorkel AI

Data development for GenAI:
A systems-level view
Chris Glaze, Research Scientist, Snorkel AI

Skill-it! A data-driven skills framework for understanding and training language models
Frederic Sala, Assistant Professor of Computer Science, University of Wisconsin-Madison

Representation model fine-tuning
Trung Nguyen, Machine Learning Engineer, Snorkel AI

Adapting and Auditing LLMs in the age of instruction tuning
Stephen Bach, Assistant Professor of Computer Science, Brown University

Programmatically scale human preferences and alignment in GenAI
Hoang Tran, Machine Learning Engineer, Snorkel AI

Fireside chat: Building enterprise LLM applications in banking
Sarthak Pattanaik, Head – AI Hub, Head of Engineering – Digital Assets, Treasury, Clearance & Collateral, BNY Mellon
Alex Ratner, CEO and Co-Founder, Snorkel AI

Fireside chat: Insurance’s GenAI revolution: A business perspective
Alex Ratner, CEO and Co-Founder, Snorkel AI
Alex Taylor, Global Head of Emerging Technology, QBE Ventures

Live Q&A with select speakers