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How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

AWS Machine Learning

They use big data (such as a history of past search queries) to provide many powerful yet easy-to-use patent tools. A recent initiative is to simplify the difficulty of constructing search expressions by autofilling patent search queries using state-of-the-art text generation models. model_fp16.onnx

APIs 66
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The Need for Customer Experience is Based on Science Not Myth

Natalie Petouhof

And what’s critical is determining where a brand’ web / mobile sites compare to customer expectations as well as benchmarking against CoIT applications or competitors or even non-competitors who have a great customer experience. In fact, that’s key to where customer expectations come from thus important to capitalize on. In Robert B.

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Amazon SageMaker built-in LightGBM now offers distributed training using Dask

AWS Machine Learning

The supported data format can be either CSV or Parquet. Extensive benchmarking experiments on three publicly available datasets with various settings are conducted to validate its performance. Distributed training is a technique that allows for the parallel processing of large amounts of data across multiple machines or devices.