Back to Module 1.11: LLM EvaluationComing Soon
AI Lesson & Submodule
LLM-as-a-Judge
Design LLM evaluation templates with robust grading rubrics.
Why This Matters
Using larger models to grade completions allows automated evaluation of open-ended conversational text.
What You Will Learn
- •Write grading rubrics
- •Minimize judge model bias
- •Validate judge scores
Concepts Covered
Judge rubrics formattingOrder and casing biasesInter-annotator agreement statistics
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
- ?What are the biases of the LLM-as-a-Judge pattern, and how do you mitigate order or length bias?