Crafting Examples for Instruction Inference
A developer is building a tool to process customer complaint emails. The goal is to have a language model automatically extract three specific pieces of information: (1) the core issue, (2) the product involved, and (3) the customer's requested action. The developer's initial attempts at writing a direct instruction have failed to produce consistent results.
Your task is to help the developer by applying the technique of generating an instruction from examples. Create three distinct input-output pairs that you would provide to a language model to help it infer the correct instruction for this task. For each pair, briefly justify why it is a good example.
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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
Creation in Bloom's Taxonomy
Cognitive Psychology
Psychology
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Empirical Science
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Example of a Prompt Template for Generating Instructions from Input-Output Pairs
Instruction Inference from Input-Output Pairs
A developer wants a language model to generate a clear instruction for the task of 'summarizing a long paragraph into a single, concise sentence.' To do this, they will provide the model with a set of input-output examples and ask it to infer the instruction. Which of the following sets of examples is most likely to result in the desired instruction?
Diagnosing Issues in Instruction Inference
Crafting Examples for Instruction Inference