How to align LLMs to Enterprise Objectives and Policies
AI in the enterprise often fails to meet expectations because the underlying LLMs are not properly aligned to the business itself.
The biggest challenge enterprise AI teams face is aligning LLMs to domain- and enterprise-specific objectives and policies—and ensuring they’re compliant with organizational standards and ethics.
In this recorded webinar, we introduce an enterprise alignment workflow which combines programmatic data development, taxonomy-guided data augmentation, and the latest LLM fine-tuning techniques—and show how we applied it at top finance, insurance and healthcare companies to improve the accuracy of their AI assistants and chatbots by 20+ points.
Join us and learn how to:
Align AI chatbots to professional and ethical standards
Align AI assistants to industry and enterprise policies
Improve AI accuracy and compliance by 20+ points
This webinar is for enterprises looking to accelerate the delivery of production AI up to 100X faster.
Timestamps:
00:01 Introduction
00:49 Agenda
01:27 Why Enterprise Alignment Matters
02:46 Introduction to Alignment
04:17 Enterprise Alignment Specifics
05:34 Enterprise Alignment Pipeline
07:36 Challenges in Enterprise Alignment
08:44 Snorkel's Approach to Automation
09:22 Programmatic Techniques Overview
09:52 Data Construction for Alignment
10:55 Techniques for Model Training
12:57 Synthetic Data Generation
13:56 Workflow for Synthetic Preference Data
16:07 Taxonomy Guided Data Augmentation
18:40 Evaluation Metrics
20:27 Domain-Specific Applications
27:45 Future Directions
29:34 Q&A Session
#enterpriseai #llms #llmalignment
