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Deconstructing a Model's Input
Examine the complete text provided below, which is designed to be given to a large language model. Deconstruct this text into its distinct structural components and explain the specific purpose of each component in guiding the model to generate the desired output.
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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
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Deconstructing a Model's Input
Analyze the following prompt provided to a language model. What is the primary function of the section containing 'Review: "The plot was predictable and the acting was wooden." / Sentiment: Negative' within the overall structure?
Prompt Start
Instruction: Classify the sentiment of the following movie review as 'Positive', 'Negative', or 'Neutral'.
Review: "The plot was predictable and the acting was wooden." Sentiment: Negative
Review: "An absolute masterpiece of modern cinema. I was captivated from start to finish." Sentiment: Positive
Review: "The movie was two hours long and was filmed in color." Sentiment:
Prompt End
A developer needs a language model to summarize lengthy technical reports into a single, easy-to-understand sentence. Consider two approaches for structuring the prompt:
Approach 1:
[Instruction: Summarize the following report in one sentence.] + [The full technical report]Approach 2:
[Instruction: Summarize the following report in one sentence for a non-technical audience.] + [Example Report 1] + [Example Summary 1] + [Example Report 2] + [Example Summary 2] + [The full technical report to be summarized]Which approach is more likely to yield consistently better results, and what is the most accurate reason?
A well-structured input for a language model often contains several distinct components that work together. Match each component with its primary function.