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.