An engineer is developing a system to translate text from a source language to a target language. The system uses a large, pre-trained model as an 'encoder' to process the source sentence and create a rich, contextual numerical representation. A separate, newly trained 'decoder' component then uses this representation to generate the translated sentence. During testing, the engineer observes that the generated sentences in the target language are grammatically fluent and well-structured, but they frequently fail to accurately convey the specific meaning and context of the original source sentences. Which of the following is the most likely cause of this specific problem?
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
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Analysis in Bloom's Taxonomy
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An engineer is developing a system to translate text from a source language to a target language. The system uses a large, pre-trained model as an 'encoder' to process the source sentence and create a rich, contextual numerical representation. A separate, newly trained 'decoder' component then uses this representation to generate the translated sentence. During testing, the engineer observes that the generated sentences in the target language are grammatically fluent and well-structured, but they frequently fail to accurately convey the specific meaning and context of the original source sentences. Which of the following is the most likely cause of this specific problem?
Evaluating Encoder Choices in Machine Translation
Role of the Adapter in BERT-based NMT