Encoder-decoder transformers are commonly used for:
Answer options
A
Machine translation and conditional generation
B
Unsupervised clustering only
C
Training GANs
D
Image denoising with VAEs only
Correct answer: Machine translation and conditional generation
Explanation
Quick AnswerThe correct answer is Machine translation and conditional generation because it directly addresses the core logic of Generative AI.
Encoder-decoder transformers encode source sequences and condition the decoder for tasks like machine translation and conditional text generation.