Dec 16, 2023 · A novel and efficient methodology that leverages one-shot learning to discern and select high-quality instruction data from extensive datasets.
Aug 11, 2024 · Contemporary practices in instruction tuning often hinge on enlarging data scaling without a clear strategy for ensuring data quality, ...
Jan 4, 2024 · We introduce Nuggets, a novel and efficient methodology that employs one shot learning to select high-quality instruction data from expansive datasets.
NUGGETS, a novel and efficient methodology that employs one shot learning to select high-quality instruction data from expansive datasets.
Dec 15, 2023 · We introduce Nuggets, a novel and efficient methodology that employs one shot learning to select high-quality instruction data from expansive datasets.
We propose a one-shot learning approach that relies on these profiles to map a tabular dataset containing previously unseen instances to a domain ontology.
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Jun 3, 2024 · One-shot learning is a machine learning technique that allows a model to learn something new from just a single example. The researchers ...
improvement of the model after one-shot learning. 310 ... The Code Alpaca instruction dataset (Chaudhary, 2023) is designed to develop large language models.
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Contemporary practices in instruction tuning often hinge on enlarging data scaling without a clear strategy for ensuring data quality, ...
One-Shot Learning as Instruction Data Prospector for Large Language Models. Yunshui Li | Binyuan Hui | Xiaobo Xia | Jiaxi Yang | Min Yang | Lei Zhang ...