Real ChatGPT answer · index seedQEjYCGBtA1EcompleteB2B software · AI and automation toolsinformational
How can I test my custom internal chatbots for hallucination issues before rolling them out to my team of contractors?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I test my custom internal chatbots for hallucination issues before rolling them out to my team of contractors?
2 real searches · 1 real-search pass
LLM hallucination evaluation framework RAG faithfulness answer relevance official documentation NIST AI RMF generative AI profileGoogle ↗
OBSERVEDOther / navigational
OWASP Top 10 for LLM applications misinformation excessive agency sensitive information disclosure evaluation testingGoogle ↗
OBSERVEDReason
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.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
LLM hallucination evaluation framework RAG faithfulness answer relevance official documentation NIST AI RMF generative AI profile Google ↗
OWASP Top 10 for LLM applications misinformation excessive agency sensitive information disclosure evaluation testing Google ↗
- DeepEval website · deepeval.com
- Ragas documentation · docs.ragas.io
- Azure AI Foundry documentation · learn.microsoft.com
- Develop a RAG Solution on Azure - Large Language Model End-to-End Evaluation Phase - Azure Architecture Center · learn.microsoft.com
- Use metrics to understand model performance · docs.aws.amazon.com
- Use metrics to understand RAG system performance · docs.aws.amazon.com
- GitHub - GenAI-Security-Project/GenAI-LLM-Top10: OWASP Top 10 for Large Language Model Applications · github.com
- AI/LLM Application Security Testing and Red Teaming · owasp.github.io
- Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile · nist.gov
- Building Evaluation Probes into Agentic AI · nist.gov
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
LLM hallucination evaluation framework RAG faithfulness answer relevance official documentation NIST AI RMF generative AI profile OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
OWASP Top 10 for LLM applications misinformation excessive agency sensitive information disclosure evaluation testing OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |