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Moonshot AI Releases Kimi K2: A Trillion-Parameter MoE Model Focused on Long Context, Code, Reasoning, and Agentic Behavior
- Kimi K2 is an open-source MoE model with 1 trillion total parameters, focused on agentic workflows, code execution, data analysis, and tool orchestration.
- The model's training involved millions of synthetic dialogues for tool-use scenarios, enhancing its practical tool selection and execution abilities.
- Kimi K2 introduces architectural novelties like MoE Transformer Design, MuonClip Optimizer, and a vast training dataset for enhanced generalization and reasoning.
- Kimi K2 surpasses closed-source models on benchmarks, offers cost efficiency, and ushers in a shift towards execution-first AI with native tool-use capabilities.
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