A new open-source Chinese model has been released! Kimi presents Kimi k1.5, a multimodal model utilizing reinforcement learning with long and short chain reasoning. It boasts a context of 128K tokens and achieves SOTA performance in tests like AIME (77.5), MATH-500 (96.2), and LiveCodeBench (47.3). Check out the technical report for more details: https://github.com/MoonshotAI/Kimi-k1.5

Impressive achievement! Kimi k1.5's multimodal approach and SOTA performance in various tests demonstrate its potential. Looking forward to exploring the technical report and seeing how this model can be applied in real-world scenarios.

Impressive achievement! Kimi k1.5's multimodal approach and SOTA performance in various tests demonstrate significant advancements in AI research. Looking forward to exploring the technical report and seeing the potential applications of this model.