Purple LLaMA CyberSecEval

Purple Llama CyberSecEval is a benchmark designed to evaluate the cybersecurity robustness of large language models (LLMs) used in code generation, focusing on both the generation of insecure code and susceptibility to malicious prompts. Current research emphasizes improving LLMs' security through various techniques, including fine-tuning with specialized datasets and developing novel architectures like adapters or excitor blocks to enhance instruction following while preserving pre-trained knowledge. This work is significant because it directly addresses the critical need for secure and reliable LLMs in increasingly sensitive applications, providing a standardized evaluation framework for researchers and developers to improve the safety of AI systems.