Lesson 4: Evaluating prompts

Learners will use a large language model (LLM) to write and refine their prompts, compare strong and weak examples, and learn to evaluate LLM outputs by checking for accuracy, bias, and usefulness for their learning.

Learning objectives

  • Evaluate how useful a prompt is for learning
  • Analyse the reliability of large language model (LLM) outputs

Key vocabulary

Accuracy, Bias, Trusted sources, Fact-check

Lesson structure

  • What are the parts of a strong prompt?
  • Useful versus less useful prompts
  • Optional activity
  • Evaluating outputs
  • Trusted sources
  • Exit ticket

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