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Scaling Up Text Analysis: Best Practices with Spark NLP n-gram Generation

John Snow Labs

Spark NLP offers a powerful Python library for scalable text analysis tasks, and its NGramGenerator annotator simplifies n-gram generation. Introduction Text analysis is a fundamental task in Natural Language Processing (NLP) that involves extracting meaningful insights from textual data.

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Accelerating app development with LLMs

Agile Engine

Extract raw text Step 4. Send it to Vertex AI/text-bison Step 5. This article provides a practical guide for rapid app development using LLMs from Vertex AI, covering the entire process from idea to production. Choose the right platform Step 2. Test a little Step 3.

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Unlocking the Potential of Clinical NLP: A Comprehensive Overview

John Snow Labs

In this article, we will discuss the use of Clinical NLP in understanding the rich meaning that lies behind the doctor’s written analysis (clinical documents/notes) of patients. De-identification of protected health information in English, Spanish, French, Italian, Portuguese, Romanian, and German texts.

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Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

Altexsoft

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. In this article, we’ll share what we’ve learnt when creating an AI-based sound recognition solutions for healthcare projects.

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A Guide to Installing John Snow Labs NLP Libraries in Air-Gapped Databricks Workspaces

John Snow Labs

In this article, we introduce a solution to set up John Snow Labs NLP Libraries in air-gapped Databricks workspaces with no internet connection and download & load the pretrained models from John Snow Labs Models Hub. This step involves building a Docker image that encapsulates the necessary dependencies and configurations.

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Interpreting predictive models with Skater: Unboxing model opacity

O'Reilly Media - Data

Over the years, machine learning (ML) has come a long way, from its existence as experimental research in a purely academic setting to wide industry adoption as a means for automating solutions to real-world problems. Image courtesy of Pramit Choudhary. Traditional methods for interpreting predictive models are not enough.

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Information extraction with LLMs using Amazon SageMaker JumpStart

AWS Machine Learning - AI

Large language models (LLMs) have unlocked new possibilities for extracting information from unstructured text data. With SageMaker JumpStart, you can evaluate, compare, and select FMs quickly based on predefined quality and responsibility metrics to perform tasks like article summarization and image generation.