amia.org/webinar-library/2023-trends-applied-nlp-healthcare-large-language-models-no-code-and-responsible-ai
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2023 Trends in Applied NLP in Healthcare: Large Language Models, No-Code, and Responsible AI
This webinar summarizes current trends and use cases that apply state-of-the-art natural language processing in healthcare systems, pharmaceuticals, and health IT companies. David Talby covers unlocking use cases that become possible with current large language models; enabling medical domain experts to train & tune models in a co-code environment; and testing NLP models across aspects of Responsible AI in preparation for regulatory oversight. Talby also shares free and open-source tools that you can use today in these three areas.
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2023 Trends in Applied NLP in Healthcare: Large Language Models, No-Code, and Responsible AI
This webinar summarizes current trends and use cases that apply state-of-the-art natural language processing in healthcare systems, pharmaceuticals, and health IT companies. David Talby covers unlocking use cases that become possible with current large language models; enabling medical domain experts to train & tune models in a co-code environment; and testing NLP models across aspects of Responsible AI in preparation for regulatory oversight. Talby also shares free and open-source tools that you can use today in these three areas.
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2023 Trends in Applied NLP in Healthcare: Large Language Models, No-Code, and Responsible AI
This webinar summarizes current trends and use cases that apply state-of-the-art natural language processing in healthcare systems, pharmaceuticals, and health IT companies. David Talby covers unlocking use cases that become possible with current large language models; enabling medical domain experts to train & tune models in a co-code environment; and testing NLP models across aspects of Responsible AI in preparation for regulatory oversight. Talby also shares free and open-source tools that you can use today in these three areas.
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- descriptionThis webinar summarizes current trends and use cases that apply state-of-the-art natural language processing in healthcare systems, pharmaceuticals, and health IT companies. David Talby covers unlocking use cases that become possible with current large language models; enabling medical domain experts to train & tune models in a co-code environment; and testing NLP models across aspects of Responsible AI in preparation for regulatory oversight. Talby also shares free and open-source tools that you can use today in these three areas.
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- og:title2023 Trends in Applied NLP in Healthcare: Large Language Models, No-Code, and Responsible AI
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