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.
Medical Large Language Models LLMs In recent years, Large Language Models (LLMs) have revolutionized various industries by their ability to process and generate human-like text. In the field of healthcare,...
John Snow Labs, the award-winning Healthcare AI and NLP company renowned for its Spark NLP library, proudly announces its continued commitment to sustainability with the achievement of CarbonNeutral® company status...
Along with more than a 5x user growth from 2022 to 2023, the NLP Lab becomes one of the most widely used tools for domain experts to annotate, train, tune,...
Demos
See More