EPISODE · Aug 17, 2024 · 6 MIN
「大模型的“魔力”之源」第三集：Softmax的魔力——从分类到生成
from AI可可AI生活
「大模型的“魔力”之源」是一个6集的系列，一起探索大模型的强大之谜！本期要点： Softmax函数将神经网络的输出转化为概率分布,是分类任务的核心 在大模型中,Softmax被创新性地应用于文本生成任务 通过Softmax,大模型可以基于上下文生成下一个最可能的单词,从而实现了文本生成 采样策略的选择对生成质量有很大影响,如温度参数、Top-k采样等 结束语:Softmax的魔力在于将离散的分类扩展到了连续的生成,为大模型开启了全新的应用空间在小宇宙查看该单集文稿
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「大模型的“魔力”之源」第三集：Softmax的魔力——从分类到生成
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This episode is 6 minutes long.
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This episode was published on August 17, 2024.
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「大模型的“魔力”之源」是一个6集的系列，一起探索大模型的强大之谜！本期要点： Softmax函数将神经网络的输出转化为概率分布,是分类任务的核心 在大模型中,Softmax被创新性地应用于文本生成任务 通过Softmax,大模型可以基于上下文生成下一个最可能的单词,从而实现了文本生成 采样策略的选择对生成质量有很大影响,如温度参数、Top-k采样等 结束语:Softmax的魔力在于将离散的分类扩展到了连续的生成,为大模型开启了全新的应用空间在小宇宙查看该单集文稿
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