thai-job-nlp-ner

Fine-tune Thai NER transformer models (PhayaThaiBERT, WangchanBERTa, or new checkpoints). Covers full pipeline — data prep, config generation, hyperparameter tuning, training, evaluation, comparison, and deployment. Use when the user wants to train, retrain, tune, or experiment with NER models.

Deep web research on ML/NLP techniques, academic papers, HuggingFace models, and implementation best practices. Use whenever the user asks about a technique ("what is LoRA?", "how does CRF work?"), wants to explore new approaches ("what's the latest in NER?"), needs paper references ("find papers on Thai NER"), wants model/method comparisons, or is considering a new experiment and needs evidence before committing. Also trigger when the user mentions researching, benchmarking against SOTA, looking for implementations, or finding alternatives to their current approach. This skill does research only — it does NOT modify code or run training.