XuanwuAI/SecEval
SecEval: A Comprehensive Benchmark for Evaluating Cybersecurity Knowledge of Foundation Models The advent of large language models has ignited a transformative era for the cybersecurity industry. Pioneering applications are being developed, deployed, and utilized in areas such as cybersecurity knowledge QA, vulnerability hunting, and alert investigation. Various researches have indicated that LLMs primarily acquire their knowledge during the pretraining phase, with fine-tuning… See the full description on the dataset page: https://huggingface.co/datasets/XuanwuAI/SecEval.
| Author / organization | XuanwuAI |
|---|---|
| Downloads | 966 (as reported by Hugging Face) |
| Likes | 25 |
| Created | 20 December 2023 |
| Last updated at source | 21 December 2023 |
Connected in the knowledge graph
- mradermacher/Cyber-Prime-1.1-2.6B-GGUFModel · used to train
- mradermacher/Cyber-Prime-1.2-GGUFModel · used to train
- Akahsizrr/Cyber-Prime-1.1-2.6BModel · used to train
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