Overview
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Learn to implement the Supervised Agent Framework in this 22-minute video that demonstrates how to combine AI agents with human oversight for automating high-risk business tasks while minimizing costly errors. Explore the fundamentals of supervised agents and large language models (LLMs), then distinguish between low-risk and high-risk automation scenarios through organizational chart analysis. Discover strategies for handling escalations in high-risk tasks and examine a detailed customer support automation workflow. Master the supervised agent framework methodology and explore practical use cases that allow you to leverage AI automation without compromising business safety or quality standards.
Syllabus
Intro
What are supervised agents
What is an LLM
Lowrisk vs highrisk
Organizational chart
Highrisk tasks
Handling escalations
Customer support automation workflow
Supervised agent framework
Supervised agent use cases
Taught by
Bart Slodyczka