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Source channel @githubtrending · Post #14958 · Jul 14

#python#agent#agentic_ai#grpo#kimi_ai#llms#lora#qwen#qwen3#reinforcement_learning#rl ART is a tool that helps you train smart agents for real-world tasks using reinforcement learning, especially with the GRPO method. The standout feature is RULER, which lets you skip the hard work of designing reward functions by using a large language model to automatically score how well your agent is doing—just describe your task, and RULER takes care of the rest. This makes building and improving agents much faster and easier, works for any task, and often performs as well as or better than hand-crafted rewards. You can install ART with a simple command and start training agents right away, even on your own computer or with cloud resources. https://github.com/OpenPipe/ART

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EdgeMarket.AI 📣

@edgemarketai · Post #7991 · 02/20/2026, 10:35 AM

High-profile matches expose more than skill — they reveal system dynamics. For Nottingham Forest vs Liverpool, EdgeMarket analyzes scenario formation: • Momentum vs control • Tactical flexibility • Fatigue and recovery cycles • Pressure response under crowd intensity Rather than framing outcomes as binary, we focus on how probabilities evolve before and during the match. Sport is one of the clearest real-world laboratories for decision intelligence. #DecisionIntelligence#SportsAnalytics#PremierLeague#EdgeMarket#SystemsThinking#OutcomeAnalysis