Trillion-parameter AI model from Ant Group targets reasoning benchmarks with dual release strategy

Описание: This video contains Altered content or synthetic content. Ant Group's Ling-1T is a trillion-parameter large language model designed to push the boundaries of efficient reasoning and scalable cognition. Built on the Ling 2.0 architecture, it features around 50 billion active parameters per token and supports an exceptionally long context length of up to 128K tokens. Pre-trained on over 20 trillion reasoning-dense tokens, Ling-1T employs an evolutionary chain-of-thought training process that enhances its reasoning depth and efficiency. It achieves state-of-the-art performance on complex reasoning benchmarks including mathematics, code generation, and logical tasks, outperforming both open-source and proprietary models. Notably, Ling-1T balances accuracy with token efficiency, requiring significantly fewer tokens than competitors like Gemini 2.5 Pro. Despite being a non-cognitive or non-thinking model, Ling-1T demonstrates superior complex reasoning capabilities and represents a major milestone in AI model development.
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