SafeRLHFdataset is a human-labeled dataset containing both performance and safety preferences. It includes constraints in over ten dimensions, such as insults, immorality, crime, emotional harm, and privacy, among others. These constraints are designed for fine-grained value alignment in RLHF ...
safe-rlhf provides an abstraction to create datasets for all of the Supervised Fine-Tuning, preference model training, and RL training stages.class RawSample(TypedDict, total=False): """Raw sample type. For SupervisedDataset, should provide (input, answer) or (dialogue). For PreferenceDataset,...
Value alignment– After pre-training, additional steps can be taken to align the model to values such as veracity, safety, and controllability. For the value alignment, techniques such asReinforcement Learning from Human Feedback(RLHF) orDirect Preference Optimization(DPO), amon...
Accordingly, OpenAI devoted six months to ensure its safety through RLHF and other safety mitigation methods prior to deploying their pre-trained GPT-4 model (Christiano et al., 2017; Stiennon et al., 2020; Ouyang et al., 2022; Bai et al., 2022a; OpenAI, 2023b). In addition, OpenAI...
这篇教程以能够运行ColossalAI的“RLHF Training Stage1 - Supervised instructs tuning”部分为主线,附带罗列了安装过程中可能遇到的困难以及解决办法,希望对你有一点帮助。 ” 本篇教程对应代码:github.com/createmomo/O Kaggle:kaggle.com/ Colossal AI官方项目:github.com/hpcaitech/Co 本文微信公众号(“看个通俗...
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For the value alignment, techniques such as Reinforcement Learning from Human Feedback (RLHF) or Direct Preference Optimization (DPO), among others, can be used. Model cards –Finally, it’s important for model providers to share information detailing the development process as much as...
If I use the BeaverTails to train a safe RLHF model in one round, can I reproduce the results in "BEAVERTAILS: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset"? Thank you for your response in advance: ) Checklist I have made every effort to write this issue in...
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback - safe-rlhf/safe_rlhf/evaluate/reward.py at main · PKU-Alignment/safe-rlhf
fromtorch.utils.dataimportDataLoaderfromsafe_rlhfimportSafetyPreferenceDataset,load_pretrained_modelsDATASET_TYPE=SafetyPreferenceDatasetif__name__=='__main__':_,tokenizer=load_pretrained_models("meta-llama/Meta-Llama-3-8B",model_max_length=512, ...