Open Internet by MindsNet

Understanding structured deviations in hybrid AI model sampling

The hybrid AI model combining RBM sampling with LLM-guided edits shows stable mixing and no mode collapse, but generates samples with structured deviations from the training distribution. The cause of these deviations is unclear, suggesting a potential limitation in the sampling process or the introduction of systematic bias by the hybrid model.

Computing & Technology, Computer Science, Machine Learning