Lightning Lessons

Strategies for building self-improving document processing

Hosted by Jason Liu and Eli Badgio

Wed, Oct 29, 2025

5:00 PM UTC (1 hour)

Virtual (Zoom)

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Systematically Improving RAG Applications
Jason Liu
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What you'll learn

Building high-quality document processing evals

Learn techniques for creating evaluation frameworks that measure end-to-end pipeline accuracy

Deploying multimodal retrieval agents

Discover how to implement agents that automatically optimize document processing workflows

Automating pipeline iteration and improvement

Understand methods for building self-improving systems that enhance their own performance

Why this topic matters

Document processing errors cost time and money in production. As AI handles critical workflows, building self-improving pipelines becomes essential. Students will learn automated optimization techniques to create systems that evolve beyond manual tuning—a valuable skill as companies scale AI applications.

You'll learn from

Jason Liu

Consultant at the intersection of Information Retrieval and AI

Jason has built search and recommendation systems for the past 6 years. He has consulted and advised a dozens startups in the last year to improve their RAG systems. He is the creator of the Instructor Python library. 

Eli Badgio

Co-founder and CTO at Extend

Eli Badgio is the co-founder and CTO of Extend, the YC-backed, AI-native document-processing cloud that just raised $17 million to help teams turn unruly PDFs into production-ready data with unmatched accuracy. businesswire.com 

Before launching Extend, Eli worked on automated support agents for shopify stores and helped build out the initial Partner Platform at Opendoor, sharpening his knack for developer-centric infrastructure  

worked with

Extend
Stitch Fix
Meta
University of Waterloo
New York University

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