Kimi-K2, an open-source agentic AI framework developed by Moonshot AI, highlighting its trillion-parameter Mixture-of-Experts (MoE) architecture and the novel MuonClip optimizer that ensures training stability.

The text explores Kimi-K2's core capabilities in "agentic intelligence," enabling it to autonomously perform complex tasks with a 128K long-context window.

Furthermore, the sources detail Kimi-K2's state-of-the-art performance across coding, math, and tool-use benchmarks, compare it to competing models, and discuss its applications in healthcare, finance, and education.

Finally, the analysis addresses implementation requirements, scalability challenges, ethical considerations, and the future trajectory of Kimi-K2 within the broader AI landscape.