Câu 3: 612-51: Certified Responsible AI Governance and Ethics Professional

Your AI engineering team is developing a next-generation machine translation engine intended for enterprise and regulatory use, where accurate interpretation of long and complex sentences is critical. The previous model (using RNNs) failed to translate long sentences accurately because it processed words sequentially. To address these issues, the team determines that the new architecture should utilizes self-attention mechanisms to process the entire sequence of data in parallel, handling long-range dependencies effectively. Which deep learning architecture should the team adopt to meet these requirements?

1. A. Convolutional Neural Networks (CNNs)
2. B. Autoencoders
3. C. Radial Basis Function Networks
4. D. Transformer Networks — đáp án hiện tại