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HomePrompt EngineeringLearning with not Enough Data Part 2: Active Learning
AAdmin
20 tháng 2, 2022
1 min read
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Nguồn: Lil'Log
This is part 2 of what to do when facing a limited amount of labeled data for supervised learning tasks. This time we will get some amount of human labeling work involved, but within a budget limit, and therefore we need to be smart when selecting which samples to label.
This is part 2 of what to do when facing a limited amount of labeled data for supervised learning tasks. This time we will get some amount of human labeling work involved, but within a budget limit, and therefore we need to be smart when selecting which samples to label.