You are viewing a free preview of this lesson.
Subscribe to unlock all 10 lessons in this course and every other course on LearningBro.
Prompt engineering is the practice of crafting effective instructions and inputs for AI models to produce desired outputs. As LLMs become more capable, the ability to communicate clearly and precisely with them has become a valuable skill.
Key insight: An LLM does not read your mind. It responds to the text you provide. Vague input produces vague output. Specific, well-structured input produces specific, high-quality output.
Give the model a task without any examples, relying entirely on pre-trained knowledge.
Prompt: "Classify the sentiment of this review as positive,
negative, or neutral: 'The food was decent but
the service was terrible.'"
Output: "Negative"
Provide several examples of the desired input-output pattern:
Prompt:
"Classify the sentiment:
Review: 'Absolutely loved it!' -> Positive
Review: 'Worst experience ever.' -> Negative
Review: 'It was okay, nothing special.' -> Neutral
Review: 'The ambience was lovely but the food was cold.' -> "
Output: "Mixed/Negative"
Encourage step-by-step reasoning:
Subscribe to continue reading
Get full access to this lesson and all 10 lessons in this course.