---
layout: single
title:  "【生成式AI时代下的机器学习(2025)】第十一讲：浅谈神奇的 Model Merging 技术"
date:   2025-06-07 08:00:00 +0800
categories: [编程开发, 数据科学]
tags: [模型合并, 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**模型合并（Model Merging）**的技术，特别是利用**任务向量（Task Vector）**来增强或改变**基础模型（Foundation Model）**的功能。它们展示了如何通过**对模型参数进行加减运算**来实现不同的目标，例如让语言模型减少生成有毒内容，或者构建一个多任务模型。此外，文档还探讨了**高级合并方法**以及**在规模化应用中模型合并的考虑因素**，并提出了**任务向量**可以被小团队专门开发、出售和交换的未来愿景。

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- [【生成式AI時代下的機器學習(2025)】第十一講：今天你想為 Foundation Model 裝備哪些 Task Vector？淺談神奇的 Model Merging 技術](https://www.youtube.com/watch?v=jFUwoCkdqAo)