Automated Prompt Engineering: Leveraging Synthetic Data and Meta-Prompts for Enhanced LLM Performance

Engineering effective prompts for LLMs is crucial yet challenging due to their sensitivity to prompts and the ambiguity of task instructions. Recent studies propose using meta-prompts that learn from past trials to suggest improved prompts automatically. However, evaluating prompt effectiveness requires high-quality benchmarks, often scarce and expensive. While LLMs excel in generating diverse datasets and […]

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