Glean's Embedding Model for Enterprise-Adapted AI

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Glean's Embedding Model for Enterprise-Adapted AI

Hosted by Jason Liu and Manav Rathod

Wed, Mar 5, 2025

6:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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120 students

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Systematically Improving RAG Applications

Jason Liu

View syllabus

Wed, Mar 5, 2025

6:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

120 students

Invite your network

Go deeper with a course

Systematically Improving RAG Applications

Jason Liu

View syllabus

What you'll learn

Enterprise Embedding Model Creation

Build and fine-tune custom embedding models using MLM, contrastive learning, and user feedback data.

Data Adaptation Strategies

Apply synthetic and real company data to overcome cold-start problems and adapt models to specific contexts.

RAG Architecture Integration

Implement embedding models within RAG systems to create company-specific AI search and generation tools.

Why this topic matters

Custom embedding models are the key to making AI work effectively in business settings. By learning to adapt these models to specific company contexts, you'll be able to build AI systems that truly understand organizational language and deliver real value—a critical skill as enterprise AI adoption grows.

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.