Back to Module 1.11: LLM EvaluationComing Soon
AI Lesson & Submodule
Evaluation Interview Guide
Prepare for engineering interviews focused on evaluation systems.
Why This Matters
Candidates must show how they measure system performance and contain API test expenditures at scale.
What You Will Learn
- •Defend evaluation metrics
- •Explain LLM-as-a-judge biases
- •Scale evaluations cost-effectively
Concepts Covered
Evaluation metric defensesJudge model compromisesCost containment bounds
Mapped Foundation Project: LLM Evaluation Lab
Regression evaluation dashboard testing prompt templates against golden datasets, checking faithfulness and schema compliance.
Architecture Preview
CI/CD testing pipeline running prompt variants against tests, compiling scores, and flagging failures.
Prompt Template CommitGolden Dataset CollectionModel Completion Loop
Tech Stack Planned
TypeScriptVitestReact
GitHub: Coming SoonLive Demo: Coming Soon
Coming SoonTechnical Interview Value
- ?How do you balance evaluation accuracy, execution time, and API token costs in automated pipelines?