# 第九章：解码策略：模型如何生成文本

训练好的语言模型拥有了对文本的深层理解和生成能力，但**如何从模型输出的概率分布中选取词元来构建完整的文本**，是一个独立且重要的技术问题。不同的解码策略直接影响生成文本的质量、多样性和一致性。

本章将从自回归解码的基本机制出发，逐步讨论贪心搜索、束搜索和各种采样策略的设计逻辑与适用场景，并探讨推理时计算扩展这一新兴范式——如何通过在推理阶段投入更多计算来提升模型的深度推理能力。


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