大模型虽强，但在专业领域表现往往不尽如人意。常见的解决方案是通过监督微调或者强化学习更新模型参数，但这背后是高昂的代价与新的局限： 算力黑洞：单次训练动辄消耗数万美元，每一次迭代都是真金白银的投入 ...

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