Prompt Template
Prompt templates are carefully designed textual structures used to guide large language models (LLMs) and other AI models towards desired outputs in various tasks, such as text classification, image generation, and question answering. Current research focuses on optimizing these templates for improved performance and generalization across different datasets and model architectures, exploring techniques like soft prompt tuning, class descriptions, and mixture-of-experts approaches. This research is crucial for enhancing the reliability and efficiency of LLMs, addressing issues like bias and inconsistency, and enabling more effective and robust applications across diverse domains.
Papers
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