12 Questions
What task can language models excel at through the use of carefully constructed prompts?
Question answering
How can language models generate concise summaries of longer texts?
By providing summarization prompts
What type of information can language models extract efficiently with appropriate prompts?
Character names in the text
In what way can language models enhance their question-answering capabilities?
By constructing specific prompts for questions
What is a key element that should be included in a well-designed prompt?
Clearly defining the task or objective
Why should prompts be concise according to the text?
To improve model understanding
How can prompt engineering be beneficial in NLP tasks?
It can help in information extraction
Why is testing and iterating with different prompt designs important according to the text?
To evaluate and refine the prompt over time
What is the purpose of prompt engineering when working with language models?
To steer the models towards desired behaviors
In the context of language models, what does the term 'Label' refer to?
Specific category or task for the language model to focus on
What are some examples of 'Model Parameters' for a language model?
Settings like temperature and top-k sampling
How does providing clear and specific instructions in prompts benefit the language model?
It guides the model's focus and leads to more accurate results
Test your knowledge on how language models can generate information based on specific prompts. Understand the process of extracting data using text summarization prompts and example texts.
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