AI might create fictional references that sound convincing but don't exist. This can stem from limitations in training data, overfitting, or the model's tendency to prioritize coherence over truth.

With @Mira_Network, you can unmask AI Hallucinations! This occurs when an AI model generates information that is incorrect, fabricated, or not grounded in reality, despite appearing confident or plausible.

To mitigate this, users can:

- Cross-check AI outputs with reliable sources.

- Ask for evidence or citations.

- Rephrase queries to test consistency.

These are the solutions Mira_Network offers.