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Highly effective, task-specific prompts are often heavily engineered by experts to integrate detailed instructions and domain insights based on a deep understanding of both instincts of large language models (LLMs) and the intricacies of the target task.
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Tom Bylander · 1994
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Ellen M Voorhees and Dawn M Tice · 2000
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Prefix-tuning: Optimizing continuous prompts for generation
Xiang Lisa Li and Percy Liang · 2021
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Rlprompt: Optimizing discrete text prompts with reinforcement learning
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Multitask prompt tuning enables parameter-efficient transfer learning
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Connecting large language models with evolutionary algorithms yields powerful prompt optimizers
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