---
layout: single
title:  "【生成式AI时代下的机器学习(2025)】第十讲：人工智慧的微创手术 — 浅谈 Model Editing"
date:   2025-06-07 07:00:00 +0800
categories: 数据科学
tags: [模型编辑, 2025生成式AI时代下的机器学习, 生成式AI, 机器学习, 李宏毅]
---

本文档深入探讨了**模型编辑**，这是一种用于**更新人工智能模型知识**的技术，而不需进行**完全重新训练**。它们首先通过对比**模型编辑**与传统的**后训练（Post Training）**来解释其概念，其中前者侧重于**植入特定事实**，而后者旨在**学习新技能**。接着详细阐述了**模型编辑的评估标准**，包括**可靠性、泛化性和局部性**，并介绍了两种主要方法：**不改变模型参数**和**改变模型参数**。展示了**Rank-One Model Editing (ROME)** 方法，它通过**直接修改模型内部参数**来实现知识更新。最后，还介绍了**超网络（Hypernetwork）**，这是一种让**人工智能学习如何进行模型编辑**的技术，展示了其训练和测试过程。

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- [【生成式AI時代下的機器學習(2025)】第十講：人工智慧的微創手術 — 淺談 Model Editing](https://www.youtube.com/watch?v=9HPsz7F0mJg)