EncoderLayer除了attention操作外，另一个部分就是全连接层，就是我们理解的全连接网络，它的作用就是对a...
这其中的Encoder-Decoder是一种用于处理序列-序列问题的框架,编码器(Encoder)输入一个序列并输出一个编码,解码器(Decoder)使用这个编码来生成一个输出序列。 Encoder-Decoder框架不仅仅在文本领域广泛使用,在语音识别、图像处理等领域也经常使用。区别在于,文本处理和语音识别的Encoder部分通常采用RNN模型,图像处理的Encoder...
The goal of the blog post is to give anin-detailexplanation ofhowthe transformer-based encoder-decoder architecture modelssequence-to-sequenceproblems. We will focus on the mathematical model defined by the architecture and how the model can be used in inference. Along the way, we will give so...
One or more computers process scores indicative of the acoustic data using a recurrent neural network to generate a sequence of outputs. The sequence of outputs indicates a likely output label from among a predetermined set of output labels. The predetermined set of output labels includes output ...
In this work, we present a preliminary study investigating rank-one editing as a direct intervention method for behavior deletion requests in encoderdecoder transformer models. We propose four editing tasks for NMT and show that the proposed editing algorithm achieves high efficacy, while requiring ...
Motivation 以前的模型大多都只依赖于encoder或关注于decoder,分别对于生成和理解任务是次优的; 此外,大多数现有的方法把code看作是像NL这样的标记序列,只是在其上采用传统的NLP预训练技术,这在很大程度上忽略了代码中丰富的结构性信息,而这对于完全理解代码的语义至
Rank-One Editing of Encoder-Decoder Models Vikas Raunak, Arul Menezes NeurIPS 2022 Workshop on Interactive Learning for Natural Language Processing|November 2022 Large sequence to sequence models for tasks such as Neural Machine Translation (NMT) are usually trained over hundreds of millions of...
if is_explicit_encoder_decoder_prompt(inputs): raise ValueError("Cannot pass encoder-decoder prompt " "to decoder-only models") if prompt_adapter_request: prompt_token_ids = [ 0 ] * prompt_adapter_request.prompt_adapter_num_virtual_tokens + \ prompt_token_ids llm_inputs = LLMInputs(promp...
encoder pytorch transformer object-detection gpt seq2seq-model encoder-decoder decoders multimodel scratch-implementation large-language-models llms Updated Feb 28, 2025 Python Lcrypto / LDPC Star 4 Code Issues Pull requests AVX implementation of different LDPC decoders MS NMS SCMS SCSP under...
所以,整体来看,大概在2021年之前吧,NLP大模型领域算是天下三分,以bert为代表的encoder-only模型依然强势,以T5为代表的encoder-decoder模型已经展露锋芒,而以GPT3为代表decoder-only模型已经迎来了蜕变。 encoder已死,decoder当立! GPT3是一个在当时严重被低估的大模型,当时GPT3火过一阵儿,有相当一部分原因可能是因...