Self-evolving AI systems: Build your own upgrade system

In this class

What this class covers

1. 01Explore how evaluation criteria guide system corrections through course examples
2. 02Understand when to stop during the system correction process
3. 03Create a record of retest results and adoption decisions

Instructor

Learn with Hai Tseng

Hai Tseng

Hai Tseng

Dean, SAT Knowledge AI Academy

• 20 years of experience in the digital industry: from engineer to VP, general manager, and Chief AI Officer
• Nearly 15 years at StreetVoice, leading the platform to 20x growth
• Hands-on AI adoption: focused on making AI part of a company's daily operations

Evolve · 7 classes

7 courses in Evolve

One price covers all 7 classes. Start with the one you want.

1. 01 Loop engineering: Write acceptance criteria and let AI iterate to passHai Tseng · About 18 min →
2. 02 Turn taste into evals: External signals and machine-readable criteriaSean Liu · About 30 min →
3. 03 Make your team's AI better with use: Shared knowledge, SOPs and quality gatesCarmen Hsueh · About 20 min →
4. 04 AI governance boundaries: Permissions, cost and human handoffWisely Chen · About 35 min →
5. 05 Traces and incident reviews: See it to fix itSean Liu · About 30 min →
6. 06 Self-evolving AI systems: Build your own upgrade systemHai Tseng · About 30 min This course
7. 07 Five decisions for going all-in on AI: Alignment, process, business model, pricing and budgetSting Tao · About 60 min →