gpu-optimization-patterns
Pass
Audited by Gen Agent Trust Hub on Oct 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides legitimate code snippets for optimizing machine learning workloads on GPUs using PyTorch, Transformers, and BitsAndBytes.\n- [SAFE]: External references to models (e.g., Meta Llama) target well-known organizations and represent standard library usage.\n- [SAFE]: No patterns of prompt injection, data exfiltration, obfuscation, or unauthorized system access were identified in the instructions or code samples.\n- [SAFE]: Best practices for memory management, gradient scaling, and DataLoader tuning are correctly implemented according to industry standards.
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