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Classification of Text Generation Problems in NLP
In Natural Language Processing, text generation tasks that use existing text as input can be broadly divided into two main categories. The first is text completion, which involves continuing to write based on the provided text. The second is text transformation, which focuses on converting the input text into a new, different text.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
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Classification of Text Generation Problems in NLP
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Text Completion (Continual Writing)
Text Transformation (Text-to-Text Generation)
An AI assistant is tasked with taking a 10-page research paper as input and producing a one-paragraph summary of its key findings. According to the primary classification of text generation problems that use existing text as input, which category does this task fall into?
An AI model receives the input: 'The sun began to set, casting long shadows across the valley.' It produces two different outputs:
- Output A: '...The air grew cooler, and the first stars started to appear in the twilight sky.'
- Output B: 'Le soleil commençait à se coucher, projetant de longues ombres sur la vallée.'
Which of the following statements correctly analyzes the relationship between these outputs and the two main categories of text generation that use existing text as input?
Match each Natural Language Processing (NLP) task with the primary category of text generation it represents, based on whether the goal is to continue the input text or convert it into a new form.