Pre-trained models are added late in projects, accumulate rather than get replaced, and change three times less often than libraries, with distinct documentation driven by capability needs and testing uncertainty.
Software Dependencies 2.0: An Empirical Study of Reuse and Integration of Pre-Trained Models in Open-Source Projects,
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When AI Models Become Dependencies: Studying the Evolution of Pre-Trained Model Reuse in Downstream Software Systems
Pre-trained models are added late in projects, accumulate rather than get replaced, and change three times less often than libraries, with distinct documentation driven by capability needs and testing uncertainty.