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arXiv Machine Learning By Fardin Afdideh, Fernando Seoane, Farhad Abtahi

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance

Read the original on arXiv Machine Learning →

arXiv:2608. 06246v1 Announce Type: new Abstract: Post-training adaptation has become central to modern machine learning practice and includes techniques such as retraining, fine-tuning, parameter-efficient adaptation, alignment, retrieval augmentation, model editing, unlearning, calibration, and Multimodal Instruction Tuning.

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