[Findings of EMNLP'25] A comprehensive framework designed to safeguard system prompts for Large Language Models (LLMs) against various types of attacks.
-
Updated
Aug 21, 2025 - Python
[Findings of EMNLP'25] A comprehensive framework designed to safeguard system prompts for Large Language Models (LLMs) against various types of attacks.
an AI-powered desktop application designed to help users discover and optimize system prompts for Large Language Models (LLMs) without requiring complex fine-tuning or LoRA training.
Small collection of scripts to build datasets for LLMs.
🤖 A collection of frequently used prompts
Add a description, image, and links to the system-prompt topic page so that developers can more easily learn about it.
To associate your repository with the system-prompt topic, visit your repo's landing page and select "manage topics."