A research team is using an automated process to generate new training data. The process involves showing a language model a few high-quality examples, where each example consists of an 'instruction', a user 'input', and a corresponding 'output'. The goal is for the model to then create a completely new, well-formed example that follows the same three-part structure. Which of the following prompts, given to the model after the examples, would be most effective and precise for this task?
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Ch.4 Alignment - Foundations of Large Language Models
Foundations of Large Language Models
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Foundations of Large Language Models Course
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A research team is using an automated process to generate new training data. The process involves showing a language model a few high-quality examples, where each example consists of an 'instruction', a user 'input', and a corresponding 'output'. The goal is for the model to then create a completely new, well-formed example that follows the same three-part structure. Which of the following prompts, given to the model after the examples, would be most effective and precise for this task?
Troubleshooting an Automated Data Generation Process
Evaluating a Prompt Template for Data Generation