Adver Suffix Maybe Features

This repository provides tools and datasets for investigating adversarial suffix attacks using embedding techniques. Our project focuses on generating adversarial embeddings and creating harmful datasets for Llama2 and Llama3 models, demonstrating potential vulnerabilities in these language models.

PySpur-Dev/pyspur

5,677View on GitHub

datawhalechina/prompt-engineering-for-developers

24,267View on GitHub

This project is a technical curriculum and development guide focused on large language model prompt engineering, fine-tuning, and the creation of retrieval augmented generation applications. It serves as a comprehensive resource for developers to master crafting precise instructions and textual patterns to improve the quality and predictability of model outputs. The material covers the end-to-end workflow of adapting open-source models to specific datasets and integrating language models with vector databases to generate responses based on private information. It also provides a systematic ap

AI45Lab/OpenRT

257View on GitHub

Open-source red teaming framework for MLLMs with 42+ attack methods

AIFEG/BenchLMM

86View on GitHub

ECCV 2024 BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

Open-source red teaming framework for MLLMs with 42+ attack methods

AIFEG/BenchLMM

86View on GitHub

ECCV 2024 BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models

suffix-maybe-featureadver-suffix-maybe-features