Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.
Who will be affected?
Readers: No access to all 28 journals. We recommend accessing our articles via PubMed Central
Authors: No access to the submission form or your user account.
Reviewers: No access to your user account. Please download manuscripts you are reviewing for offline reading before Wednesday, July 01, 2020 at 7:00 PM.
Editors: No access to your user account to assign reviewers or make decisions.
Copyeditors: No access to user account. Please download manuscripts you are copyediting before Wednesday, July 01, 2020 at 7:00 PM.
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Editorial: NVIDIA ‘Chat with RTX’ custom LLM and personalized AI chatbot augments the value of electronic dermatology reference material
Maged N. Kamel Boulos;
Robert P. Dellavalle
ABSTRACT
We demonstrate a new, promising method using generative AI to augment the educational value of electronic textbooks and research papers (locally stored on user’s machine) and maximize their potential for self-study in a way that goes beyond the standard electronic search and indexing that is already available in all of these textbooks and files. The presented method runs fully locally on the user’s machine, is generally affordable, and does not require high technical expertise to set up and customize with user’s own content.
Citation
Please cite as:
Kamel Boulos MN, Dellavalle RP
NVIDIA’s “Chat with RTX” Custom Large Language Model and Personalized AI Chatbot Augments the Value of Electronic Dermatology Reference Material