Agentic AI system prevents data hallucinations in optical network troubleshooting
In brief
- Integrates data references into the agent architecture to prevent hallucinations.
- Improves root-cause identification in optical networks.
- Boosts interpretability and trust in automated diagnostics.
An agentic AI system for automated troubleshooting in optical networks integrates data references into its architecture to prevent hallucinations. This approach enhances the reliability and transparency of root-cause identification.
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