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Healthcare NLP Blog

How Fine-Tuned 8B Parameter Models Can Match the Performance of GPT-4o for RAG

Blog

In this blog post, we spotlight the potential of smaller, specialized language models within a Retrieval-Augmented Generation (RAG) framework — a space where large LLMs like GPT-4o are commonly used. By examining JSL’s purpose-built...

This blog post explores how John Snow Labs’ Healthcare NLP & LLM library is transforming clinical trials by using advanced NER models to efficiently filter through large datasets of patient...

Healthcare-specific language models, like the JSL-MedS-NER family, are designed to extract clinical entities from unstructured medical text. These models can identify key information such as clinical terms, drugs, side effect,...

Literature reviews are a critical component of evidence-based medicine, serving as a structured approach to addressing clinical questions by systematically analyzing the breadth of published academic literature. However, traditional methods...

This talk draws from the paper “LLMs Will Always Hallucinate, and We Need to Live With This” and presents a critical analysis of hallucinations in large language models (LLMs), arguing...
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