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agentscope-ai/Trinity-RFT
Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).
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- PossiblePossibly related (embedding) · 53%Hierarchical Experimentalist Agents →
- PossiblePossibly related (embedding) · 53%T3MP3ST Framework Transforms AI Agents into Red-Teaming Operators - TechGig →
- PossiblePossibly related (embedding) · 53%AutoTrainess: Teaching Language Models to Improve Language Models Autonomously →
- PossiblePossibly related (embedding) · 52%AgentCore-8B →
- PossiblePossibly related (embedding) · 52%LangChain Engineer Introduces Harbor for Complex AI Agent Evaluation - TechGig →
- PossiblePossibly related (embedding) · 52%An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery →
- PossiblePossibly related (embedding) · 54%Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade →
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newsT3MP3ST Framework Transforms AI Agents into Red-Teaming Operators - TechGignewsLangChain Engineer Introduces Harbor for Complex AI Agent Evaluation - TechGigpaperAn Experimental Design Approach to Evaluating Agentic AI's Autonomous Model DiscoverymodelAgentCore-8BpaperDoomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe CascadepaperHierarchical Experimentalist AgentspaperAutoTrainess: Teaching Language Models to Improve Language Models Autonomously