Human-in-the-loop for active learning
Looking for humans who can continuously review model predictions so as to avoid data drift and close the model retraining loop?
Monitor for unusual data
Use active learning in order to surface instances which are close to decision boundaries or which are out of the standard distribution - these will be sent to human operators on a regular basis.
Generate new ground truth
Our humans in the loop provide labels to the new data in order to be able to compare the model's predictions with this ground truth and to identify false predictions.
Audit model predictions
Use humans in the loop to review and evaluate the model's predictions post-deployment in order to surface potential biases and failure modes of the AI system.
Our workforce
We offer access to a diverse workforce from around the globe which represents different cultural values. With their help, you can have a regular review of new data and model predictions and close the loop of your model retraining process.
How it works
Send us information about your project and your human-in-the-loop needs. Our team will work with you to define to Scope of Work and to determine the best way to deliver the results that you require.
Our team will develop a custom interface for your use case and will hand-pick the most suitable workforce based on your requirements in terms of geography, demographics, etc.
We will provide you with API endpoints so that you can easily create jobs for our workforce and you can also define callback URLs where you wish to receive the results.
Once the integration is complete, you can start sending requests to our workforce on a regular basis using a pre-defined stream and format. This can be done at regular intervals or whenever new data is detected.
Our workforce will start labeling the data and generating new ground truth. Their outputs can be used for automated model retraining so that you can put your pipeline on auto-pilot!
Interested in learning more?
Email us
hello@humansintheloop.org
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