Medical Large Language Models for Clinical Text Summarization, Information Extraction, and Question Answering


This event qualifies for 1 CPEs


Large language models like GPT-4 and their open-source counterparts provide a leap in capabilities on understanding medical language and context - from passing the US medical licensing exam to summarizing clinical notes.

 

Recently, a wave of health-specific large language models shows that tuning models specifically on medical data and tasks can result in even higher accuracy on everyday use cases such as question answering, information extraction, and summarization. Some of these models also aim to address the privacy, hallucination, and fairness issues that current language models exhibit. 

 

Join us for this webinar where attendees will learn: 

  • The current state of the art large language models (LLMs)
  • Recommendations on what to consider when deploying these technologies in practice 
  • How John Snow Labs is utilizing LLMs

Don't miss out - Register today!

Speaker and Presenter Information

David Talby, Chief Technology Officer, John Snow Labs

Relevant Government Agencies

Dept of Health & Human Services, Other Federal Agencies, Federal Government


Event Type
Webcast


This event has no exhibitor/sponsor opportunities


When
Thu, Jun 15, 2023, 2:00pm - 3:00pm ET


Cost
Complimentary:    $ 0.00


Where
Free Webinar


Website
Click here to visit event website


Event Sponsors


Organizer
John Snow Labs Government Team at Carahsoft


Contact Event Organizer



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