粉色分支,Encoder-only框架(也叫Auto-Encoder),典型代表如BERT等 绿色分支,Encoder-decoder框架,典型代表如T5和GLM等 蓝色分支,Decoder-only框架(也叫Auto-Regressive),典型代表如GPT系列/LLaMa/PaLM等 Harnessing the Power of LLMs in Practice 刚听这三种框架名称可能会有点懵逼,不用担心,先感性认识一下。如下所...
主要区别如下：1、结构：Encoder-Decoder Transformer包含编码器和解码器两个部分，而Decoder-Only Transform...
(2014), where an encoder is responsible for encoding the input data into a hidden space, while a decoder is used to generate the target output text. Figure 1: Encoder-Decoder (ED) framework and decoder-only Language Model (LM). Recently, many promising large language models (GPT Radford ...
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...
class DecoderPromptType(Enum): ''' For encoder/decoder models only - ''' CUSTOM = 1 NONE = 2 EMPTY_STR = 3 2 changes: 1 addition & 1 deletion 2 tests/test_inputs.py Show comments View file Edit file Delete file This file contains bidirectional Unicode text that may be interpreted...
Autoencoders discover latent variables by passing input data through a “bottleneck” before it reaches the decoder. This forces the encoder to learn to extract and pass through only the information most conducive to accurately reconstructing the original input. ...
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch. Significance is further explained in Yannic Kilcher's video. There's really not much to code here, but may as well lay it out for everyone so we ...
Coarser Feature Maps:We also experiment with the case when using\({train\ output\ stride} = 32\)(i.e., no atrous convolution at all during training) for fast computation. As shown in the third row block in Table3, adding the decoder brings about 2% improvement while only 74.20B Multipl...
The Reed-Solomon (RS) compiler offers a fully parameterizable RS coder and RS decoder. RS coder/decoders (CODECs) are widely used for error detection ...
The objective of this study was to automate the discrimination and quantification of human abdominal body fat compartments into subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) from T1-weighted MRI using encoder-decoder convolutional neural networks (CNN) and to apply the algorithm...