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Published : Oct 23, 2024
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Oct 2024
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动态少样本提示 构建在少样本提示(few-shot prompting)的基础上,通过动态地在提示中包含特定的示例来引导模型的响应。 调整这些示例的数量和相关性可以优化上下文长度和相关性,从而提升模型的效率和性能。像 scikit-llm 这样的库实现了这一技术,它使用最近邻搜索来获取与用户查询最相关的示例。该 技术 可以更好地利用模型有限的上下文窗口,并减少 token 消耗。开源 SQL 生成器 vanna 就是利用动态少样本提示来提高响应的准确性的。

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