Wenqi Glantz
Background
Writes detailed, implementation-level walkthroughs of LLM application components, including a head-to-head evaluation of the two mainstream guardrail frameworks.
Articles in This Vault
Key Contributions
- Benchmarked NeMo Guardrails against Llama Guard — equal 89% input-moderation accuracy on 18 adversarial prompts, at materially different hardware cost