Fiddler Trust Service for LLM Scoring
Start the self-guided tour to learn how to:
- Detect jailbreaks, or prompt injection attacks, that manipulate the chatbot into generating unauthorized responses
- Visualize prompts and responses clusters in a 3D UMAP
- Perform root cause analysis to identify malicious users and prompts
- Monitor LLM metrics, like PII leakage, in customized dashboard and reports
Fiddler Trust Service for LLM Scoring
Enterprises deploy LLMs for chatbots, content summarization, or other use cases to automate processes, reduce costs, and enhance customer and employee satisfaction.
However, LLMs process unstructured data like text, where accuracy depends on context. A response accurate in one case may be wrong in another, requiring advanced monitoring techniques beyond standard metrics to detect hallucinations, safety issues, prompt injection attacks, and other LLM concerns.
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