Most deep learning frameworks are built for flexibility. They handle dynamic graphs, varying batch sizes, and a multitude of layer types. Talos takes the opposite approach. It strips away the runtime, the scheduler, and the operating system overhead to expose the raw compute capability of the FPGA. By implementing the entire inference pipeline in SystemVerilog, we achieve deterministic, cycle-accurate control over every calculation.
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7. Why does Anthropic really exist?
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这一形式化具有重要意义：它把“科研智能”从一个远大理想，变成了可训练、可评估、可迭代的对象。