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Show HN: Finding errors in datasets with Similarity Search
3 points
by
Alyka
almost 3 years ago
The process of splitting or labeling data is error-prone, and these errors can be very costly. George Panchuk, ML Engineer at Qdrant, shares how to define misplaced items with similarity search and avoid errors in categorized datasets.
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