This is the Windows app named PKU Beaver whose latest release can be downloaded as safe-rlhfsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS
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PKU Beaver
DESCRIPTION
PKU Beaver is an open-source research project focused on improving the safety alignment of large language models through reinforcement learning from human feedback under explicit safety constraints. The framework introduces techniques that separate helpfulness and harmlessness signals during training, allowing models to optimize for useful responses while minimizing harmful behavior. To support this process, the project provides datasets containing human-labeled examples that encode both performance preferences and safety constraints across multiple dimensions. These annotations include categories such as harmful language, unethical behavior, privacy violations, and other sensitive topics. By incorporating constraint-based optimization methods, Safe-RLHF trains models that balance reward objectives with safety requirements, ensuring that harmful outputs are penalized during training.
Features
- Dataset for safety-aware reinforcement learning from human feedback
- Annotations covering multiple safety and ethical constraint categories
- Algorithms for balancing helpfulness and harmlessness objectives
- Fine-grained preference data for model alignment training
- Research tools for evaluating safety alignment performance
- Framework for developing value-aligned large language models
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/pku-beaver.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
