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

John Snow Labs

Serving as a high-performance inference engine, ONNX Runtime can handle machine learning models in the ONNX format and has been proven to significantly boost inference performance across a multitude of models. Our integration of ONNX Runtime has already led to substantial improvements when serving our LLM models, including BERT.

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

AWS Machine Learning Blog

Overall, TensorRT’s combination of techniques results in faster inference and lower latency compared to other inference engines. The TensorRT backend for Triton Inference Server is designed to take advantage of the powerful inference capabilities of NVIDIA GPUs. These functions are used during the inference step.

ML 84
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The NLP Cypher | 02.14.21

Towards AI

DeepSparse: a CPU inference engine for sparse models. Sparsify: a UI interface to optimize deep neural networks for better inference performance. A key… github.com RpBERT BERT Model for multimodal name-entity recognition (NER) Connected Papers ? Follow their code on GitHub. SparseZoo: a model repo for sparse models.

NLP 95
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The NLP Cypher | 02.14.21

Towards AI

DeepSparse: a CPU inference engine for sparse models. Sparsify: a UI interface to optimize deep neural networks for better inference performance. A key… github.com RpBERT BERT Model for multimodal name-entity recognition (NER) Connected Papers ? Follow their code on GitHub. SparseZoo: a model repo for sparse models.

NLP 52