AI Researchers Explore New Techniques to Automatically Improve and Optimize Prompts for Language Models
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Prompt engineering involves carefully crafting instructions to AI models to improve their responses, but testing prompts is computationally expensive.
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Positive affirmations like "This will be fun!" can boost model performance, but lack a systematic methodology.
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Automatic prompt optimization uses AI models to refine prompts for better performance, shown to work with commercial models.
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Open source models can also effectively optimize prompts, making this approach more accessible.
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Auto-generated prompts can seem oddly specific yet still enhance model proficiency in unexpected ways.