John Snow Labs' benchmarking results reveal a significant leap in accuracy when compared to general-purpose LLMs like BART, Flan-T5, Pegasus, ChatGPT, and GPT-4. The findings demonstrate that John Snow Labs' models outperform these state-of-the-art LLMs in crucial tasks such as clinical note summarization, clinical entity recognition, medical data de-identification, and extracting ICD-10-CM codes.
Many data scientists have asked what and when to use AWS Medical Comprehend vs. John Snow Labs Healthcare NL. In this blog, we explore the aspects and differentiators of John...
Today, we are excited to announce that John Snow Labs’ Medical LLM - Small and Medical LLM - Medium large language models (LLMs) are now available on Amazon SageMaker Jumpstart....
Spark NLP 5.5 dramatically enhances the landscape of large language model (LLM) inference. This major release introduces native integration with Llama.cpp, unlocking access to tens of thousands of GGUF models...
The future of Natural Language Processing (NLP) is here, and it's more flexible and user-friendly than ever before. NLP Lab, a pioneering No Code Platform designed for document annotation and...
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