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Large Language Models Blog

John Snow Labs vs. GPT-4 in Biomedical Question Answering: comparing writing style, correctness, and completeness; clinical correctness and explainability

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Choosing the right Large Language Model (LLM) for biomedical question answering can spell the difference between accurate and actionable answers to unreliable information, hindering patient outcomes. However, with several chatbots...

EntityRulerInternal in Spark NLP extracts medical entities from text using regex patterns or exact matches defined in JSON or CSV files. With practical examples, this post explains how to set...

Classifying PDF documents using text-based classification models is a powerful capability Generative AI Lab provides. Users can now pre-annotate and classify images and PDF documents with over 1500 pre-trained models...

This blog post explores how John Snow Labs’ Healthcare NLP models are revolutionizing the extraction of critical insights on opioid use disorder. By utilizing advanced Natural Language Processing (NLP) techniques,...

Learn how the open-source Spark NLP library provides optimized and scalable LLM inference for high-volume text and image processing pipelines. This session dives into optimized LLM inference without the overhead of commercial...