Figure 3
A diagram of a transformer-based encoder-decoder framework. The diagram is divided into three main sections: the encoder layer, the decoder layer, and the text prediction and segmentation prediction components. The encoder layer consists of six layers, each containing multi-head attention and feed-forward mechanisms. The decoder layer also consists of six layers, each containing multi-head attention mechanisms and feed-forward mechanisms. Input embeddings are added with positional encoding before entering the encoder layers. The output of the encoder layers is passed to the decoder layers, which also receive input embeddings with positional encoding. The decoder layers output is then processed by the ChatGPT model for text prediction and segmentation prediction. The text prediction component includes a linear layer followed by a softmax layer. The segmentation prediction component also includes a linear layer followed by a softmax layer.Transformer-based encoder-decoder