Shypd.aiThe largest open index of AI toolsRoleLLM-public is an AI Frameworks & Infra tool that benchmarks, elicits, and enhances role-playing abilities in large language models. It provides a framework for data construction and evaluation, including solutions for both closed-source and open-source models.
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RoleLLM-public is a comprehensive framework designed to benchmark, elicit, and enhance the role-playing capabilities of Large Language Models (LLMs). It introduces RoleLLM, a four-stage process encompassing role profile construction, Context-Based Instruction Generation (Context-Instruct) for knowledge extraction, Role Prompting using GPT (RoleGPT) for style imitation, and Role-Conditioned Instruction Tuning (RoCIT) for fine-tuning open-source models. The framework includes RoleBench, a systematic and fine-grained character-level benchmark dataset with over 168,000 samples. RoCIT on RoleBench has led to the development of RoleLLaMA (English) and RoleGLM (Chinese), significantly improving role-playing performance to levels comparable with GPT-4.
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