Consumer engagement company Fetch uses generative AI to make it easier and faster for users to earn rewards on their purchases by scanning their receipts
With Hugging Face on Amazon SageMaker, you can deploy and fine-tune pre-trained models that reduce the time it takes to set up and use natural language processing models from weeks to minutes.
In 2021, Fetch set out to optimize its app’s scanning functionality. The company built, trained, and deployed more than five machine learning (ML) models using Amazon SageMaker Inference in 12 months. In late 2022, Fetch rolled out its updated mobile app and new ML pipeline, powered by Amazon SageMaker Model Training and Amazon SageMaker Processing. The company runs its custom ML models using multi-GPU instances for fast performance.
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