Text Completion (Continual Writing)
Text completion, also referred to as continual writing, is a class of text generation tasks where the primary goal is to extend or continue a given piece of input text in a coherent manner.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
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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.
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Example of Text Completion: Story Continuation
Text Completion Based on User Requirements
Chain-of-Thought Prompting
A language model is provided with the following text: 'The old bookstore was a labyrinth of towering shelves and narrow aisles. The air smelled of aging paper and leather bindings. In the quietest corner, a single book lay open on a dusty table.' Which of the following model outputs best demonstrates the task of extending the given text in a coherent manner?
AI Writing Assistant Feature Analysis
Distinguishing Text Generation Tasks
Example Prompt for Conversation Completion