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A developer wants a language model to extract specific information about a product's battery life, screen quality, and price from a customer review. Arrange the following prompts in order from least effective to most effective for consistently achieving this goal.
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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
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
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Empirical Science
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Iterative Refinement of Prompts
A user wants a language model to summarize a block of text and then translate the summary into French. They try two different prompts:
Prompt 1: "Summarize the text below and translate it into French. [TEXT BLOCK]" Result 1: The model provides a summary in English but does not provide a translation.
Prompt 2: "Follow these two steps:
- Summarize the text below.
- Translate the summary from step 1 into French. [TEXT BLOCK]" Result 2: The model provides an English summary followed by a correct French translation.
What does the difference between these two outcomes most clearly demonstrate?
Diagnosing Inconsistent LLM Outputs
A developer wants a language model to extract specific information about a product's battery life, screen quality, and price from a customer review. Arrange the following prompts in order from least effective to most effective for consistently achieving this goal.