GENERATIVE-AI-LEADER · Question #80
GENERATIVE-AI-LEADER Question #80: Real Exam Question with Answer & Explanation
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Question
A creative team at example.com is using a large language model to craft ad taglines and notices that asking "Create a tagline" returns bland ideas. When they instead ask "Write a punchy and memorable tagline for a new fair trade matcha tea subscription that highlights plastic free packaging and a smooth calm energy, aimed at remote workers in major cities ages 22 to 32," the outputs are far more relevant and engaging. What is the practice of deliberately shaping the input to the model to obtain better results called?
Options
- AReinforcement learning from human feedback or RLHF
- BModel fine-tuning
- CPrompt engineering
- DData augmentation
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