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,...
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:...
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...
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...
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