post-trained model

Loosely-defined term that typically refers to a pre-trained model that has gone through some post-processing, such as one or more of the following: - Distillation - Fine-tuning - Instruction tuning

Practitioners refer to post-trained model when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.