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MLOps Landscape in 2023: Top Tools and Platforms

The MLOps Blog

” – James Tu, Research Scientist at Waabi Play with this project live For more: Dive into documentation Get in touch if you’d like to go through a custom demo with your team Comet ML Comet ML is a cloud-based experiment tracking and optimization platform. SuperAnnotate SuperAnnotate specializes in image and video annotation tasks.

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Prioritizing employee well-being: An innovative approach with generative AI and Amazon SageMaker Canvas

AWS Machine Learning Blog

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Custom Spark commands can also expand the over 300 built-in data transformations. Other analyses are also available to help you visualize and understand your data.

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Building better datasets with Snorkel Flow error analysis

Snorkel AI

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs.

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Building better datasets with Snorkel Flow error analysis

Snorkel AI

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs.

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Operationalizing knowledge for data-centric AI

Snorkel AI

So rather than just clicking and labeling one data point at a time, like playing 20,000 questions with a machine-learning model that then has to re-infer all that rich knowledge that was in your head, why not just express it directly to inject that domain knowledge? Often, this is internet or web data.

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Operationalizing knowledge for data-centric AI

Snorkel AI

So rather than just clicking and labeling one data point at a time, like playing 20,000 questions with a machine-learning model that then has to re-infer all that rich knowledge that was in your head, why not just express it directly to inject that domain knowledge? Often, this is internet or web data.