Skip to main content
was successfully added to your cart.

Spark NLP Blog

State of the Art Natural Language Processing at Scale.

Scale Vision Transformers (ViT) Beyond Hugging Face 3/3

Speed up state-of-the-art ViT models in Hugging Face 🤗 up to 2300% (25x times faster ) with Databricks, Nvidia, and Spark NLP 🚀   Scaling out transformer-based models by using Databricks, Nvidia, and Spark NLP...

Scale Vision Transformers (ViT) Beyond Hugging Face 1/3

Speed up state-of-the-art ViT models in Hugging Face 🤗 up to 2300% (25x times faster ) with Databricks, Nvidia, and Spark NLP 🚀   Scaling out transformer-based models by using Databricks, Nvidia, and Spark NLP...

PICO Classification – Using Spark NLP to improve PICO Element Identification

The proliferation of healthcare data has contributed to the widespread usage of the PICO paradigm for creating specific clinical questions from RCT. PICO is a mnemonic that stands for: Population/problem:...

Serving Spark NLP via API: Spring and LightPipelines

Welcome to a follow-up article on the “Serving Spark NLP via API” series, showcasing how to serve SparkNLP using Spring, Swagger, and Java. Don’t forget to check the other articles...

Randomized Controlled Trials (RCT) classification using Spark NLP

In this article, I give a brief introduction to Randomized Controlled Trials (RCT). Also, an overview of the classification models and pretrained pipelines available in Spark NLP for the classification...