claim
In large language models, large initial errors cause the model to reach a maximum divergence ceiling quickly, resulting in a complete loss of calibration relative to the correct distribution.
Authors
Sources
- Hallucination Causes: Why Language Models Fabricate Facts mbrenndoerfer.com via serper
Referenced by nodes (1)
- Large Language Models concept