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The NLP Cypher | 02.14.21

Towards AI

John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. The Vision of St. Heartbreaker Hey Welcome back!

NLP 94
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Spark NLP 5.0: It’s All About That Search!

John Snow Labs

We are delighted to announce the release of Spark NLP 5.0, We are delighted to announce the release of Spark NLP 5.0, Additionally, we are also set to release an array of new LLM models fine-tuned specifically for chat and instruction, now that we have successfully integrated ONNX Runtime into Spark NLP.

NLP 52
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The NLP Cypher | 02.14.21

Towards AI

John on Patmos | Correggio NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER The NLP Cypher | 02.14.21 The Continuing Story of Neural Magic Around New Year’s time, I pondered about the upcoming sparsity adoption and its consequences on inference w/r/t ML models. The Vision of St. Heartbreaker Hey Welcome back!

NLP 52
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Host ML models on Amazon SageMaker using Triton: TensorRT models

AWS Machine Learning Blog

SageMaker provides single model endpoints (SMEs), which allow you to deploy a single ML model, or multi-model endpoints (MMEs), which allow you to specify multiple models to host behind a logical endpoint for higher resource utilization. These functions are used during the inference step.

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