Spark NLP for Healthcare NER models outperform ChatGPT by 10–45% on key medical concepts, resulting in half the errors compared to ChatGPT. Introduction In the last few months, large language...
Spark NLP for Healthcare De-Identification module demonstrates superior performance with a 93% accuracy rate compared to ChatGPT’s 60% accuracy on detecting PHI entities in clinical notes. Organizations handling documents containing...
Spark NLP is 21.4x faster on a 10-node GPU cluster than on a single-node CPU cluster, without changing a single line in the python code. Spark NLP is fully integrated...
The potential consequences of “hallucinations” or inaccuracies generated by ChatGPT can be particularly severe in clinical settings. Misinformation generated by LLMs could lead to incorrect diagnoses, improper treatment recommendations, or...
Large language models (LLMs) have showcased impressive abilities in understanding and generating natural language across various fields, including medical challenge problems. In a recent study by OpenAI, researchers conducted a...
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