---
id: 20260510-T0-03
title: "解决隐私与能力冲突：新方法让LLM智能体用固定上下文持续学习技能"
title_en: "Constant-Context Skill Learning Balances Privacy and Capability for LLMs"
url: https://ai.daily.yangsir.net/daily/20260510-T0-03
issue_date: 2026-05-10
publish_date: 2026-05-09T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2605.05413
---

# 解决隐私与能力冲突：新方法让LLM智能体用固定上下文持续学习技能

LLM个人智能助手在实际部署中面临隐私、成本与能力不可兼得的难题：云端多步任务处理容易泄露用户隐私，本地部署又受限于上下文窗口长度。该研究提出一种固定上下文的技能学习方法，使LLM智能体在操作浏览器、文件或代码时，能在不增加内存负担的情况下持续积累经验。这项成果让开发者能构建低成本、强隐私保护的本地个人助手。

## English Version

**Constant-Context Skill Learning Balances Privacy and Capability for LLMs**

LLM personal assistants face a tension between privacy, cost, and capability: cloud processing risks privacy, while local deployment is limited by context windows. This research introduces a constant-context skill learning method, enabling LLM agents to continuously accumulate experience while operating browsers, files, and code without increasing memory load. It allows developers to build efficient, privacy-preserving local assistants.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2605.05413)

**详情页**：https://ai.daily.yangsir.net/daily/20260510-T0-03

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*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*