KAT-Coder Redefines Code Intelligence: How Agentic RL Powers Next-Gen AI Development Tools
14 days ago 高效码农KAT-Dev-32B & KAT-Coder: Reshaping Code Intelligence Through Scalable Agentic RL “ It’s late at night, you’re staring at a complex bug that refuses to be solved, your coffee has gone cold for the third time, and the deadline is tomorrow morning. This scenario is familiar to every developer—until now. In the world of software development, we’ve been searching for that intelligent assistant that truly understands our intent. Not simple code completion, not mechanical pattern matching, but a partner that can genuinely participate in thinking, understand context, and even proactively identify problems. Today, that vision takes a significant leap forward. A …
rStar2-Agent: Breakthrough 14B AI Model Outperforms 671B Giants in Math Reasoning
1 months ago 高效码农rStar2-Agent: How a 14B Model Achieves Frontier Math Reasoning with Agentic Reinforcement Learning Introduction In the rapidly evolving field of artificial intelligence, large language models (LLMs) have made impressive strides in complex reasoning tasks. However, many state-of-the-art models rely on extensive computational resources and lengthy “chain-of-thought” (CoT) processes that essentially encourage models to “think longer” rather than “think smarter.” A groundbreaking technical report from Microsoft Research introduces rStar2-Agent, a 14-billion-parameter math reasoning model that challenges this paradigm. Through innovative agentic reinforcement learning techniques, this compact model achieves performance comparable to giants like the 671-billion-parameter DeepSeek-R1, demonstrating that smarter training methodologies …