How user testing can make your product great
Get your product into the hands of test users and you'll walk away with valuable insights that could make the difference between success and failure.
I have a large collection of raw audio recordings and need an expert who can turn them into a high-performing voice model inside Amazon SageMaker. Your job starts with designing an efficient preprocessing pipeline—cleaning, segmenting, and augmenting the audio so that the data is ready for distributed training on SageMaker. Once the data is prepared, I’d like you to select or build a state-of-the-art architecture, train it end-to-end, and fine-tune until we hit 90-95 % word-level accuracy on my validation set. Please incorporate best-practice techniques such as mixed-precision training, hyper-parameter tuning jobs, and automatic model versioning so we can reproduce results later. Finally, the trained model must be packaged as a SageMaker endpoint that plugs directly into ...
Get your product into the hands of test users and you'll walk away with valuable insights that could make the difference between success and failure.
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