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centerforaisafety avatar

centerforaisafety/HarmBench

0
View on GitHub↗
991 stars·145 forks·Jupyter Notebook·MIT·8 viewsharmbench.org↗

HarmBench

πŸ“° Latest News πŸ“° - πŸ—‘οΈ What is HarmBench πŸ›‘οΈ - 🌐 Overview 🌐 - β˜• Quick Start β˜• - βš™οΈ Installation - πŸ› οΈ Running the Evaluation Pipeline - βž• Using your own models in HarmBench - βž• Using your own red teaming methods in HarmBench - πŸ€— Classifiers - βš“ Documentation βš“ - 🌱 HarmBench's Roadmap 🌱 -…

Features

  • Evaluation Benchmarks - Standardized framework for automated red teaming and refusal.
  • Guardrails and AI Safety - Listed in the β€œGuardrails and AI Safety” section of the The Incredible Pytorch awesome list.

Star history

Star history chart for centerforaisafety/harmbenchStar history chart for centerforaisafety/harmbench

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does centerforaisafety/harmbench do?

πŸ“° Latest News πŸ“° - πŸ—‘οΈ What is HarmBench πŸ›‘οΈ - 🌐 Overview 🌐 - β˜• Quick Start β˜• - βš™οΈ Installation - πŸ› οΈ Running the Evaluation Pipeline - βž• Using your own models in HarmBench - βž• Using your own red teaming methods in HarmBench - πŸ€— Classifiers - βš“ Documentation βš“ - 🌱 HarmBench's Roadmap 🌱 -…

What are the main features of centerforaisafety/harmbench?

The main features of centerforaisafety/harmbench are: Evaluation Benchmarks, Guardrails and AI Safety.

What are some open-source alternatives to centerforaisafety/harmbench?

Open-source alternatives to centerforaisafety/harmbench include: pyspur-dev/pyspur. datawhalechina/prompt-engineering-for-developers β€” This project is a technical curriculum and development guide focused on large language model prompt engineering,… ai45lab/openrt β€” Open-source red teaming framework for MLLMs with 42+ attack methods. ailab-cvc/seed-bench β€” (CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions. albertwy/gpt-4v-evaluation β€” Data for evaluating GPT-4V. aifeg/benchlmm β€” [ECCV 2024] BenchLMM: Benchmarking Cross-style Visual Capability of Large Multimodal Models.

Open-source alternatives to HarmBench

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  • datawhalechina/prompt-engineering-for-developersdatawhalechina avatar

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    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

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    View on GitHub↗24,267
  • ai45lab/openrtAI45Lab avatar

    AI45Lab/OpenRT

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

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  • aifeg/benchlmmAIFEG avatar

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