# HackMentor: Fine-Tuning Large Language Models for Cybersecurity
HackMentor is a cybersecurity LLMs (Large Language Models) focused on domain-specific data fine-tuning. This project consists of three main parts: data construction, model training, and model evaluation.
## Features
1. Data construction: Methods and tools for creating domain-specific datasets (instructions & conversations) for fine-tuning LLMs.
2. Model training: Techniques and processes for training LLMs on the constructed datasets.
3. Model evaluation: Metrics and evaluation methodologies to assess the performance of the fine-tuned models.
### Note: The dataset does not belongs to me. I have just uploaded the dataset for educational purposes.
# Citations
@inproceedings{hackmentor2023,
title={HackMentor: Fine-tuning Large Language Models for Cybersecurity},
author={Jie Zhang, Hui Wen*, Liting Deng, Mingfeng Xin, Zhi Li, Lun Li, Hongsong Zhu, and Limin Sun},
booktitle={2023 IEEE International Conference on Trus…
