Data Labeling
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The math behind “true” accuracy and error correlation
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The universal principle of knowledge distillation, model compression, and rule extraction
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In machine learning, more data leads to better results. But labeling data can be expensive…
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Batching your inputs together can lead to substantial savings without compromising on performance
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Leveraging zero-shot labeling
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Leveraging GPT Model
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Speed up your data labeling and have better results with these tools.
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Looking to seamlessly integrate your time series annotation in your ML workflow? Look no further
Data ScienceRunning Label Studio on Amazon SageMaker to seamlessly integrate labeling into your machine learning workflow
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Label your data programmatically!
11 min read