This is the Linux app named Purple Llama whose latest release can be downloaded as PurpleLlamasourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Purple Llama with OnWorks for free.
请按照以下说明运行此应用程序:
- 1. 在您的 PC 中下载此应用程序。
- 2. 在我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX 中输入您想要的用户名。
- 3. 在这样的文件管理器中上传这个应用程序。
- 4. 从此网站启动OnWorks Linux online 或Windows online emulator 或MACOS online emulator。
- 5. 从您刚刚启动的 OnWorks Linux 操作系统,使用您想要的用户名转到我们的文件管理器 https://www.onworks.net/myfiles.php?username=XXXXX。
- 6. 下载应用程序,安装并运行。
截图:
紫色骆驼
描述:
Purple Llama is an umbrella safety initiative that aggregates tools, benchmarks, and mitigations to help developers build responsibly with open generative AI. Its scope spans input and output safeguards, cybersecurity-focused evaluations, and reference shields that can be inserted at inference time. The project evolves as a hub for safety research artifacts like Llama Guard and Code Shield, along with dataset specs and how-to guides for integrating checks into applications. CyberSecEval, one of its flagship components, provides repeatable evaluations for security risk, including agent-oriented tasks such as automated patching benchmarks. The aim is to make safety practical: ship testable baselines, publish metrics, and provide drop-in implementations that reduce friction for teams adopting Llama. Documentation and sites attached to the repo walk through setup, usage, and the rationale behind each safeguard, encouraging community contributions.
功能
- Input and output safety guards for LLM apps
- Cybersecurity evaluations including agent patching tasks
- Reference “shields” for inference-time mitigation
- Reusable datasets and metrics for safety benchmarking
- Integration patterns for common Llama deployment stacks
- Documentation for policy design and operationalization
程式语言
Python
分类
This is an application that can also be fetched from https://sourceforge.net/projects/purple-llama.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.