The Relationship Between Pre-Trained Models and Fine Tuning Models

Continuing pre-training for the domain of interest is extremely useful./nFine-tuning models along the weight space ensemble can balance out-of-distribution generalization and flexibility./nGeneral-purpose models can perform better than fine-tuned models on certain use cases./nCombining scientific and engineering perspectives can enhance the capabilities of databases and models.