Remove AI Development Remove Auto-classification Remove Data Quality
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Building better datasets with Snorkel Flow error analysis

Snorkel AI

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. Traditional, model-centric AI development focuses its iteration loop on the model itself. Auto-generated tag-based LFs.

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Building better datasets with Snorkel Flow error analysis

Snorkel AI

We plan for multiple rounds of iteration to improve performance through error analysis, and the Snorkel Flow platform provides tools to enable this kind of iteration within the data-centric AI framework. Traditional, model-centric AI development focuses its iteration loop on the model itself. Auto-generated tag-based LFs.

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Operationalizing knowledge for data-centric AI

Snorkel AI

But I want to at least give our perspective on what motivated us back in 2015 to start talking about this and to start studying it back at Stanford, where the Snorkel team started: this idea of a shift from model-centric to data-centric AI development. This could be something really simple.

article thumbnail

Operationalizing knowledge for data-centric AI

Snorkel AI

But I want to at least give our perspective on what motivated us back in 2015 to start talking about this and to start studying it back at Stanford, where the Snorkel team started: this idea of a shift from model-centric to data-centric AI development. This could be something really simple.