LLMs for Job Markets: Skill Extraction
Finetuning BERT for NER on llm annotated data for extracting different categories of skills from job postings
This project explores a scalable hybrid approach to skill extraction from job postings. It uses GPT-generated labeled data to fine-tune BERT variants, balancing extraction accuracy with lower inference and annotation costs.