3、解码器层(Decoder,右侧) 解码器同样包含多个相同的层,并且每层也有三个主要子层:掩蔽的多头自注意力机制(Masked Multi-Head Attention)、多头自注意力机制(Multi-Head Attention)和前馈神经网络(Feed Forward)。 掩蔽多头自注意力(Masked Multi-Head Attention):这与编码器中的多头自注意力机制相似,但有一个关键...
英[ˈpriːfɪks] n.前缀(缀于单词前以改变其意义的字母或字母组合) v.在…前面加(字母或数字) 网络字首;词头;前置 复数:prefixes现在分词:prefixing过去式:prefixed 权威英汉双解 英汉 英英 网络释义 prefix 显示所有例句 n. 1. 前缀(缀于单词前以改变其意义的字母或字母组合)a letter or group of...
decoder_inputs_embeds=decoder_inputs_embeds, past_key_values=past_key_values, **kwargs, ) 我们来近距离看:transformers->models->t5->modeling_t5.py->T5Attention类,这里的关键步骤是project函数中的hidden_states = torch.cat([past_key_value, hidden_states], dim=2),注意project函数仅仅用于key和va...
Along with it, decoders each of which decodes the instruction code, based on the result of determination, and decoders each of which decodes the prefix code, are disposed separately. Further, a prefix is supplied to each decoder prior to a fixed-length instruction code like 16 bits ...
prefix-tuning在生成式任务中可以替代fine-tuning,方法就是在自回归模型前加个prefix,z=[PREFIX;x;y]或者再encoder和decoder前都加prefix,z=[PREFIX;x;PREFIX';y],如问题描述中的图所示。Pidx表示prefix中的索引,hi由下式所示: 这里我们固定GPT的参数,只会训练prefix中的参数,很明显,对于非prefix的token,都会依...
图4: prefix 适用场景(Autoregessive model : GPT, opt, encoder-decoder model: BERT, T5 ) 如图4所示,原始训练数据 x="Harry Potter, Education, Hogwarts", y="[SEP] Harry Potter is graduated from Hogwarts". 不使用prefix,直接finetune优化p(y|x)最大时的参数,prefix应用在Autoregessive Model时,...
The decoder performs the inverse operation, restoring the coded message to its original form (Lelewer and Hirschberg, 1987). 2.4.1.2 Classification of Methods In addition to being categorized with respect to message and codeword lengths, data compression methods are also classified as either static...
Prefix-Tuning进一步把control code优化成了虚拟Token,每个NLP任务对应多个虚拟Token的Embedding(prefix),对于Decoder-Only的GPT,prefix只加在句首,对于Encoder-Decoder的BART,不同的prefix同时加在编码器和解码器的开头。在下游微调时,LM的参数被冻结,只有prefix部分的参数进行更新。不过这里的prefix参数不只包括embedding层...
Prefix-Tuning进一步把control code优化成了虚拟Token,每个NLP任务对应多个虚拟Token的Embedding(prefix),对于Decoder-Only的GPT,prefix只加在句首,对于Encoder-Decoder的BART,不同的prefix同时加在编码器和解码器的开头。在下游微调时,LM的参数被冻结,只有prefix部分的参数进行更新。不过这里的prefix参数不只包括embedding层...
FIG. 8 is a look-up table for decoding symbols in accordance with the example Huffman code using three bit clustering; FIG. 9 is a general block diagram of a decoder for decoding prefix encoded data streams using byte-based look-up tables; ...