Artificial Intelligence, Machine Learning, Llm, Fine Tuning, Mlops.
retraining Sparse Models Fine-tune with proxy task to select important connections Re-densify strategically important subnetworks Model pruning as continuous process interleaved with training Multimodal Models Modality hallucination to avoid overfitting on incomplete data Cross-modal distillation