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AdinaYĀ  submitted a paper about 8 hours ago
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
whgaaraĀ  updated a dataset about 13 hours ago
inclusionAI/FinixDocBench
yuxintianĀ  published a model about 17 hours ago
inclusionAI/Ling-2.6-1T-base
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Papers

Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale

MemDreamer: Decoupling Perception and Reasoning for Long Video Understanding via Hierarchical Graph Memory and Agentic Retrieval Mechanism

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Hi there šŸ‘‹ Welcome to inclusionAI, home for Ant Group's Artificial General Intelligence (AGI) initiative. In here you can find Large Language Models (LLM), Reinforcement Learning (RL) or other systems related to models.

šŸ¤– We are also bridging the gap between digital intelligence and the physical world, exploring the frontiers of Embodied AI. Check out Robbyant, an organization under Ant Group dedicated to building the foundational platform for Embodied AI.

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Ling 2.6
Ling-2.6 series is designed for real-world agents that require fast responses, strong execution, and high token efficiency, with several sized SKUs.
Ling 2.6
Ling-2.6 series is designed for real-world agents that require fast responses, strong execution, and high token efficiency, with several sized SKUs.
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