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...
This model omitted the encoder block. For this research, the team introduced a new decoder-only sequence transduction model for the abstractive stage. They demonstrated that the model is capable of handling very long input-output examples. This model outperformed traditional encoder-decoder ...
那就是使用Decoder-only进行MLM预测任务而不是自回归任务，但Decoder-only 的强项就是自回归生成任务。可...
我们利用 masked LM （大众所谓的 encoder-only LM，其代表是 bert/roberta/xlm-roberta） 和 discrete...
LLMs:《A Decoder-Only Foundation Model For Time-Series Forecasting》的翻译与解读 导读:本文提出了一种名为TimesFM的时序基础模型,用于零样本学习模式下的时序预测任务。 背景痛点:近年来,深度学习模型在有充足训练数据的情况下已成为时序预测的主流方法,但这些方法通常需要独立在每个数据集上训练。同时,自然语言处...
First, it only has a decoder and thus reduces the model size significantly. Second, LM can be pre-trained on unlabeled text data which is much easier to obtain. Moreover, LM has many good properties including parameter sharing, layer-wise coordination, etc. Despite the remarkable achievements ...
Apart from the various interesting features of this model, one feature that catches the attention is its decoder-only architecture. In fact, not just PaLM, some of the most popular and widely used language models are decoder-only.
public virtual System.Collections.ObjectModel.ReadOnlyCollection<System.Windows.Media.Imaging.BitmapFrame> Frames { get; } Property Value ReadOnlyCollection<BitmapFrame> An instance of BitmapFrame. This property has no default value. Examples The following code example demonstrates how to us...
The performance of the DED-CNN is higher to that of the model that was trained using only AGM or SE blocks on test datasets. Furthermore, the Fig. 6 demonstrate that the qualitative results are consistent with our quantitative results presented in Table 6 for cross dataset testing ...
The uni-directional self-attention layer puts each of its input vectors \(\mathbf{y'}_j\) only into relation with all previous input vectors \(\mathbf{y'}_i, \text{ with } i \le j\) for all \(j \in {1, \ldots, n}\) to model the probability distribution of the next target...