How do I stop users from bypassing system prompts in our custom internal chatbot using Llama Guard versus NeMo Guardrails
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I stop users from bypassing system prompts in our custom internal chatbot using Llama Guard versus NeMo Guardrails
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
Meta Llama Guard official documentation input output safety classifier categories Google ↗
NVIDIA NeMo Guardrails official documentation input rails dialog rails retrieval rails output rails Google ↗
- Guardrails Configuration · docs.nvidia.com
- Guardrail Types · docs.nvidia.com
- Configuration YAML Schema Reference · nvidia-nemo.github.io
- Meta Llama Guard 1 · dev.meta.ai
- Llama Guard 4 · dev.meta.ai
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Meta Llama Guard official documentation input output safety classifier categories OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
NVIDIA NeMo Guardrails official documentation input rails dialog rails retrieval rails output rails OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |