The markdown data is about `last_layer`, an ultra-fast, low latency security library designed to protect LLM applications from prompt injection attacks, jailbreaks, and exploits. It acts as a robust filtering layer that scrutinizes prompts before they are processed by LLMs, ensuring only safe and appropriate content is allowed through. The library offers features like ultra-fast scanning, privacy-focused operations, compatibility with serverless platforms, advanced detection mechanisms, and regular updates. However, it is noted that `last_layer` is a safety tool and not a foolproof solution, as it cannot guarantee complete protection against all possible threats.
The data also provides installation and usage instructions, along with a table representing the accuracy of `last_layer` in detecting various types of prompts. The core of `last_layer` is kept closed-source to prevent reverse engineering and maintain the integrity and effectiveness of the solution. The markdown data also mentions the availability of an enterprise version of `last_layer` with additional features, enhanced support, and customization options. Contributions to the project are welcomed, and the library is distributed under the MIT License.
Key takeaways:
`last_layer` is a security library designed to protect LLM applications from prompt injection attacks, jailbreaks and exploits.
It operates without tracking or making network calls, ensuring data stays within your infrastructure, package size under 50 MB.
The filter logic and threat detection capabilities are updated monthly to adapt to evolving security challenges.
It is designed as a safety tool and not a foolproof solution, but it significantly reduces the risk of prompt-based attacks and exploits.
