The debut of K2 Think, a top open-source system for sophisticated AI reasoning, was announced Tuesday by G42 and the Institute of Foundation Models at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI).
It performs better than flagship reasoning models that are 20 times larger with only 32 billion parameters. K2 Think redefines what is feasible with small architectures thanks to this breakthrough in parameter efficiency, which makes it a potent substitute for sophisticated reasoning.
K2 Think is a new thinking model based on six innovative pillars. To improve accuracy on challenging issues, it utilises reinforcement learning with verifiable incentives, following extensive chain-of-thought supervised fine-tuning to enhance logical depth. Test-time scaling strategies further increase flexibility, while agentic planning enables the model to break down difficult problems before reasoning through them.
Furthermore, K2 Think will shortly be accessible on Cerebras’ wafer-scale, inference-optimised computing platform, allowing academics and innovators anywhere to test the limits of reasoning performance rapidly.
K2 Think will reach an incredible throughput of 2000 tokens per second with speculative decoding optimized for Cerebras hardware, making it one of the world’s fastest and most efficient reasoning systems.
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