The Encoder-Decoder architecture is a popular deep learning model used in various natural language processing tasks, such as machine translation and text summarization. It consists of two main components: an encoder and a decoder. The encoder takes an input sequence and converts it into a fixed-length vector representation, capturing the important information. The decoder then takes this vector and generates an output sequence based on it. This architecture has been widely adopted due to its ability to handle variable-length input and output sequences. Google Cloud Skills Boost offers training and resources to help individuals learn and master this architecture.

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