Expert Validation of Complex QA Pairs for Language Model Fine-Tuning
Validated over 300 question-answer pairs intended for LLM training and evaluation. The task involved checking factual correctness, clarity of phrasing, ambiguity resolution, and logical coherence of both questions and answers. Each example was assessed against internal benchmarks for alignment with the model’s target capabilities. Corrections and comments were provided where applicable to improve data quality prior to fine-tuning.