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Atria Dawn Preview is introduced, a foundation agentic language model designed for scientific research and engineering workflows, with the goal of expanding the frontier of agent productivity in the real world.
Optimizing GPU resource allocation can cut multi-agent workflow completion times by nearly 37% while saving substantial GPU usage.
FABO reveals that optimizing routing paths jointly can yield significant wirelength reductions, challenging the conventional sink-local optimization strategies of existing algorithms.
Forget text-dominance: Today's Omni-modal LLMs surprisingly favor visual inputs, creating new challenges for cross-modal reasoning.
