下面这张图是一个大模型的一个分布树,纵轴代表大模型的发布年份和大模型输入token数,这个图很有代表性,每一个分支代表不同的模型架构,今天以图中根系标注的三大类展开:Encoder-only、Encoder-Decoder、Decoder-only;我们分别来看一下这几个架构的特点和原理吧。Encoder...
Encoder-Decoder T5 GLM-130B UL2 Decoder-only GPT系列 LLaMA OPT PaLM LaMDA Chinchilla BLOOM 写在最后 系列文章导览 参考资料 开篇 大家好,我是小A。今天给大家带来本系列的第二篇内容,主要介绍LLM基座模型里常见的3种transformer架构,encoder-only,encoder-decoder和decoder-only NLP任务速览 在深入介绍LLM网络...
4.效率:decoder-only效率更高,相当于编解码一体,而encoder-decoder往往需要double的参数量。当然了,可以使用deep encoder+shallow decoder的组合来提升解码效率。 5.大一统:生成任务可以兼容理解任务,而encoder-decoder与decoder-only都可以做生成,但decoder-only可以兼容encoder-decoder(共享参数,都用单向LM),编解码一体。
(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 ...
Feature request Hello, VisionEncoderDecoderModel works only with vision-transformers-based models. Typically, using a ResNet as encoder would trigger an error in the forward: TypeError: forward() got an unexpected keyword argument 'outpu...
Transformer是在2017年由谷歌提出的，当时应用在机器翻译场景。从结构上来看，它分为Encoder 和 Decoder ...
Suppose that both the encoder and decoder architectures have only one hidden layer without any non-linearity (linear autoencoder). In this case we can see a clear connection withPCA, in the sense that we are looking for the best linear subspace to project the data on. In general, both the...
Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Models. In Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Macau, China, 8–12 October 2022; pp. 974–979. [Google Scholar] Sutskever, I.; Vinyals, O.; Le, Q.V. ...
On the other hand, if the bitstream generated from a video encoder is decodable by the standard decoder, the video encoder is considered to generate the bitstream that conforms to the video coding standard. Hence, the video encoder can comply with the standard even if only some of encoding ...
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. ...