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Safe Rlhf ⭐ 1,040

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)

A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use

[ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning

LAWLIA is an open-source computational legal framework designed to revolutionize legal reasoning and analysis. It combines the power of large language models with a structured syntactical grammar to facilitate precise legal assessments, truth values, and verdicts. LAWLIA is the future of computational jurisprudence

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