Sub-Track
Evaluation and Experimental Rigor
The rigor reviewers demand: metrics, contamination, significance, reproducibility.
Why evaluation gates publication: automatic metrics (perplexity, BLEU, ROUGE, BERTScore) and their failure modes, benchmarks and data contamination, human evaluation and LLM-as-judge bias, statistical significance and ablations, and reproducibility. Ends with a reusable evaluation harness and a job-readiness lesson.
8 lessonsIntermediate → Advanced~9h total
Prerequisite Sub-Track
Fine-Tuning and Adaptation →Complete this sub-track before starting Evaluation and Experimental Rigor.