Enhancing data quality and curation is critical for reducing hallucinations in AI models because inaccuracies or inconsistencies in training data can propagate errors in model outputs.

Authors

• Person: Not available Organization: medRxiv
  Medical Hallucination in Foundation Models and Their ...

Sources

• Medical Hallucination in Foundation Models and Their ... www.medrxiv.org medRxiv via serper
• Medical Hallucination in Foundation Models and Their Impact on ... www.medrxiv.org medRxiv via serper

Referenced by nodes (4)

• hallucination concept
• AI models concept
• training data concept
• data quality concept