上下文工程：在大型上下文窗口之外优化LLM信息

报道来源 [7]

1. arXiv cs.AI TIER_1 English(EN) · Jinhwa Kim, Ian G. Harris · 2026-07-07 04:00

   Context Misleads LLMs: The Role of Context Filtering in Maintaining Safe Alignment of LLMs

   arXiv:2508.10031v2 Announce Type: replace-cross Abstract: While Large Language Models (LLMs) have shown significant advancements in performance, various jailbreak attacks have posed growing safety and ethical risks. Malicious users often exploit adversarial context to deceive LLM…

2. Towards AI TIER_1 English(EN) · Arpit Baranwal · 2026-07-04 18:01

   Beyond Bigger Context Windows: 10 Context Engineering Patterns Every LLM Engineer Should Know

   <p>Large context windows are impressive, but they haven’t eliminated the need for context engineering. In production AI systems, deciding <strong>what not to send</strong> to the model is often more important than increasing the number of tokens it can process.</p><figure><img al…

3. Towards AI TIER_1 English(EN) · Remy B. · 2026-07-02 18:01

   什么是上下文工程？你需要知道的一切

   <figure><img alt="A diagram showing Documents, Database, Tools/API, Memory feed into LLM as context to produce a better well-structured response." src="https://cdn-images-1.medium.com/max/898/0*ZNdNWfPifx--QJ9I.gif" /></figure><h4><em>Context engineering is deciding what your AI …

4. dev.to — LLM tag TIER_1 English(EN) · Prabhakar Chaudhary · 2026-07-06 16:35

   ReContext: How Recursive Evidence Replay Helps LLMs Actually Use Long Contexts

   <h1> ReContext: How Recursive Evidence Replay Helps LLMs Actually Use Long Contexts </h1> <p>Large language models can now accept context windows of 128K, 1M, or even 10M tokens. But accepting a long input and <em>reasoning well over it</em> are two different things. A growing bo…

5. dev.to — LLM tag TIER_1 English(EN) · Nolan Vale · 2026-07-06 10:18

   Context Compression: Fitting More Useful Information Into Your LLM's Context Window

   <p>There is a tension at the heart of every enterprise RAG system. Better retrieval recall means more documents in the context. More documents in the context means longer prompts. Longer prompts mean higher inference cost, higher latency, and, past a certain length, degraded gene…

6. dev.to — LLM tag TIER_1 English(EN) · Remy B. · 2026-07-02 04:00

   什么是上下文工程？2026年开发者指南

   <p>An AI coding agent fails most often not because it can't write the code, but because it doesn't know your codebase when it starts. It reinvents a utility you already have, picks an error pattern you abandoned six months ago, queries the database in a route handler your team ba…

7. dev.to — LLM tag TIER_1 English(EN) · Trix Cyrus · 2026-06-30 18:07

   什么是上下文工程？

   <p><em>Author: Trix Cyrus</em> </p> <p>[🔹 Follow] <a href="https://github.com/TrixSec/" rel="noopener noreferrer">TrixSec GitHub</a><br /><br /> [🔹 Join] <a href="https://t.me/Trixsec/" rel="noopener noreferrer">TrixSec Telegram</a> </p> <h1> What Is Context Engineering? </h1> <p…