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Snorkel Flow Spring 2023: warm starts and foundation models

Snorkel AI

We’re thrilled to introduce the latest release of our data-centric AI development platform, Snorkel Flow. If you want to see Snorkel Flow in action, sign up for a demo. Schedule a demo with one of our Snorkel Flow experts. Autosuggest labeling functions enhancements. Advanced SDK tools. Annotation enhancements.

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Snorkel Flow Summer 2023: faster, easier and more secure

Snorkel AI

We are thrilled to announce the latest edition of Snorkel Flow, our platform to rapidly build, manage, and deploy predictive AI applications (e.g., classification, information extraction) using programmatic labeling, fine-tuning, and distillation. Here’s what we’ve rolled out: LF Filtering : Looking for a particular LF?

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Snorkel Flow Summer 2023: faster, easier and more secure

Snorkel AI

We are thrilled to announce the latest edition of Snorkel Flow, our platform to rapidly build, manage, and deploy predictive AI applications (e.g., classification, information extraction) using programmatic labeling, fine-tuning, and distillation. Here’s what we’ve rolled out: LF Filtering : Looking for a particular LF?

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Snorkel Flow Summer 2023: faster, easier and more secure

Snorkel AI

We are thrilled to announce the latest edition of Snorkel Flow, our platform to rapidly build, manage, and deploy predictive AI applications (e.g., classification, information extraction) using programmatic labeling, fine-tuning, and distillation. Here’s what we’ve rolled out: LF Filtering : Looking for a particular LF?

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Pinterest builds User Understanding Infrastructure

Bugra Akyildiz

Simulation of consumption of queue up to drivers estimated position becomes an easy simple algorithm and results in wait time classification. They describe a visual programming platform for rapid and iterative development of end-to-end ML-based multimedia applications. They refer to this as our “demand” model.

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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.