notesum.ai
Published at December 6ChatNVD: Advancing Cybersecurity Vulnerability Assessment with Large Language Models
cs.CR
cs.CL
Released Date: December 6, 2024
Authors: Shivansh Chopra1, Hussain Ahmad1, Diksha Goel2, Claudia Szabo1
Aff.: 1University of Adelaide; 2CSIRO's Data61

| LLM | Characteristics | Strengths | Weaknesses | Training Data | References | Open Source | Cost |
|---|---|---|---|---|---|---|---|
| GPT 4o mini | Fast, Scalable | Fast, Scalable, Efficient | Limited Control and Expertise | Not revealed | [30],[34, 35, 36, 37] | No | $0.150 / 1M input tokens, $0.600 / 1M output tokens [38] |
| Llama 3 | Economical | Open Source, Efficient | Lack of Domain Expertise | 7 Billion Parameters | [32],[39, 40, 41, 42, 43]. | Yes | Free |
| Gemini | High Performance, Multi-Modal | Accurate, Multi-Modal | Opaque, and Resource-Intensive | Over Billion Parameters | [44, 45, 46] | No | $1.25 / 1 million input tokens, $5.00 / 1 million output tokens [47] |