The model does the work, not the code. The inference code should be generic autoregressive decoding that would work with any transformer checkpoint. If your generation loop contains addition-specific logic — manually pairing digits, threading carry state, indexing into specific positions — then the Python code is solving the problem, not the model.
近年来，张连起走访多家不同领域企业并开展专项调研，了解到行业“内卷”的根源在于创新能力不足、产品与服务同质化严重，导致企业依赖降价手段争夺市场，这又进一步导致企业利润下降、研发投入缩减。，这一点在爱思助手下载最新版本中也有详细论述
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In November, just a few days before Thanksgiving, Anthropic released Claude Opus 4.5 and naturally my coworkers were curious if it was a significant improvement over Sonnet 4.5. It was very suspicious that Anthropic released Opus 4.5 right before a major holiday since companies typically do that in order to bury underwhelming announcements as your prospective users will be too busy gathering with family and friends to notice. Fortunately, I had no friends and no family in San Francisco so I had plenty of bandwidth to test the new Opus.
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