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Libraries for performing targeted weight updates and sequential knowledge edits across diverse architectures.
Distinct from Parameter-Efficient Update Strategies: Candidates refer to API parameters or mapping formats, not the active modification of model weights for knowledge editing.
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EasyEdit is a framework and toolkit designed for updating, inserting, or erasing specific factual information within large language models without requiring full retraining. It functions as a parameter modifier and knowledge editing system capable of performing targeted weight updates across diverse model architectures. The project distinguishes itself by supporting both text-based and multimodal model editing, allowing for knowledge updates across image and text modalities. It provides utilities for model steering to adjust personality and reasoning patterns in real time via activation inter
Enables targeted weight updates and sequential knowledge edits across various model architectures.