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Fine-tuning LLMs for Domain-Specific QA (HR Chatbot)

Prototype HR chatbot using DoRA fine-tuning on synthetic Q&A data. System produces explainable, plain-language responses with source attribution for policy queries.

Evaluation via LLM-as-a-Judge using a Prometheus-based framework, achieving strong correlation with human ratings (r = 0.82): fine-tuning performance improved from 1.2 → 3.0 (1–5 scale).

Repository structure

  • project.ipynb — full end-to-end pipeline (data, training, evaluation, inference)
  • report.pdf — final report
  • proposal.pdf — original proposal
  • presentation.pptx — overview slides

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HR chatbot using DoRA fine-tuning with LLM evaluation

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