Improving Idiomatic Machine Translation
Analyze why the direct instruction prompt provided in the case study is likely failing to capture the idiomatic meaning. Then, propose an alternative prompt structure that might yield a more accurate, idiomatic translation. Justify why your proposed structure could be more effective in this scenario.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
Social Science
Empirical Science
Science
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Example of a Prompt Template for Machine Translation
Code-like Prompt Templates
A developer is testing different ways to ask a language model to translate the English sentence 'The cat sat on the mat' into French. Consider the following three approaches:
Translate the following English text to French: The cat sat on the matEnglish: The cat sat on the mat Question: What is the French translation of this English sentence? Answer:- `def translate_to_french(english_text): """Translates the given English text to French.""" return model.translate(english_text)
input = "The cat sat on the mat" output = translate_to_french(input)`
Which option correctly identifies the format of each approach?
Examples of Instruction-like Prompts for Language Models
Improving Idiomatic Machine Translation
Constructing Machine Translation Prompts