上图比较了Beam Search和Pure Sampling两种解码方法,Beam Search导致了重复生成,Pure Sampling 导致了错误的输出。 论文对Beam Searc的分析: This may seem counter-intuitive, asone would expect that good models would assign higher probability to more human-like, grammatical text. Indeed, language models do ...
这就是top-k sampling:在解码的每个时间步从前k个概率最大的词中按它们的概率进行采样。 但top-k sampling中k的选择是个难题,选大了可能会采样出长尾词,导致语句不通顺,选小了又退化成了Beam Search。 Nucleus Sampling (Top-p Sampling) 为解决这个问题,Nucleus sampling应运而生: The key intuition of Nucle...
Annotated Research Paper Implementations: Transformers, StyleGAN, Stable Diffusion, DDPM/DDIM, LayerNorm, Nucleus Sampling and more - 这是神经网络和相关算法的简单 PyTorch 实现的集合。这些实现与解释一起记录,网站将这些内容呈现为并排格式的注释。我们相信这些将帮助您更好地理解这些算法。 ...
Dynamic Sampling Dynamic sampling of physiological parameters based on the next anticipated occurrence of a relatively periodic physiological event. Embodiments of the invention may be used to increase the battery life or effective data storage capacity ... Ransom, Scott A. 被引量: 49发表: 2008年 ...
Annotated Research Paper Implementations: Transformers, StyleGAN, Stable Diffusion, DDPM/DDIM, LayerNorm, Nucleus Sampling and more - 这是神经网络和相关算法的简单 PyTorch 实现的集合。这些实现与解释一起记录,网站将这些内容呈现为并排格式的注释。我们相信这些将帮助您更好地理解这些算法。
Dynamic Sampling Dynamic sampling of physiological parameters based on the next anticipated occurrence of a relatively periodic physiological event. Embodiments of the invention may be used to increase the battery life or effective data storage capacity ... Ransom, Scott A. 被引量: 49发表: 2008年 ...
Dynamic sampling of physiological parameters based on the next anticipated occurrence of a relatively periodic physiological event. Embodiments of the invention may be used to increase the battery life or effective data storage capacity ... Ransom, Scott A. 被引量: 49发表: 2008年 加载更多来源...