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
1、结构：Encoder-Decoder Transformer包含编码器和解码器两个部分，而Decoder-Only Transformer只包含解码器...
(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 ...
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...
整理原链接内容方便阅读;最好的阅读体验是复制下述链接内容,并使用$替换全体\),然后用VSCode进行markdown渲染 源链接: https://github.com/huggingface/blog/blob/main/encoder-decoder.md Transformers-based
These problems bring demand to explore efficient implementation of parallel Encoder–Decoder models without a padding strategy. In this work, we parallelized and optimized a Sequence-to-Sequence (Seq2Seq) model, the most basic Encoder–Decoder model from which almost all other advanced ones were ...
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...
(e.g., a sigmoid applied component-wise), x, h, and x˜ denote, respectively, a sample from the input space, its hidden representation, and its reconstruction; finally, WE and WD are Deep Kernelized Autoencoders 421 the weights and bE and bD the bias of the encoder and decoder, ...
* Intellectual property (IP) functional simulation models for use in Altera-supported VHDL and Verilog HDL simulators * Easy-to-use IP Toolbench interface: * Generates parameterized encoder or decoder * Generates customized testbench and customized Tcl script ...