As part of our focus on developing Llama 3 in a responsible way, we created a number of resources to help others use it responsibly as well. This includes new trust and safety tools like CyberSec Eval 2. Paper ➡️ https://go.fb.me/gy1h0d Cybersec Eval 2 expands on its predecessor by measuring an LLM’s susceptibility to prompt injection, automated offensive cybersecurity capabilities, and propensity to abuse a code interpreter, in addition to the existing evaluations for insecure Coding Practices and Cyber Attack Helpfulness.
The safety-utility tradeoff adds a fascinating dimension as it sheds light on the delicate balance between securing LLMs against malicious prompts and maintaining their usefulness. Would be interesting to see how FRR rolls out.
Incredible progress with CyberSec Eval 2, enhancing Llama 3’s framework not just for performance but for security and ethical integrity as well. This kind of rigorous security evaluation is crucial as AI systems become more integrated into critical infrastructures!
Wow this is wonderful
Great advice!
Insightful!
Junior Full Stack Web Developer
1moHere is also a collection of many interesting resources about Llama 3. https://www.linkedin.com/feed/update/urn:li:activity:7192699251703873536