Week 4~90 minLesson 4 of 5
Hallucination Detection & Quality Control
Common hallucination patterns in code-review models · Cross-checking model output against on-chain state and test results · Building a human-in-the-loop review gate
01Objectives
- 01Understand and apply: Common hallucination patterns in code-review models
- 02Understand and apply: Cross-checking model output against on-chain state and test results
- 03Understand and apply: Building a human-in-the-loop review gate
01
Common hallucination patterns in code-review models
This section covers common hallucination patterns in code-review models. Content for this lesson is being developed by our practitioner team and will be available when the program launches.
02
Cross-checking model output against on-chain state and test results
This section covers cross-checking model output against on-chain state and test results. Content for this lesson is being developed by our practitioner team and will be available when the program launches.
03
Building a human-in-the-loop review gate
This section covers building a human-in-the-loop review gate. Content for this lesson is being developed by our practitioner team and will be available when the program launches.
02Exercises
- 01Complete the hands-on lab for hallucination detection & quality control.
- 02Review the provided case study and answer the reflection questions.
03Key takeaways
- ✓Common hallucination patterns in code-review models
- ✓Cross-checking model output against on-chain state and test results
- ✓Building a human-in-the-loop review gate