AI in Medicine: From Text Prediction to Clinical Tools: How LLMs Work – Hosted by the Geisel Academy of Educators and Scholars

Thursday, December 17, 2026, 12:00 PM - 1:00 PM, Webinar

AMA PRA Category 1 Credits™ (1.00 hours), ACPE Contact Hours (1.00 hours), ANCC Nursing Contact Hours (1.00 hours), ASWB Social Work Credit(s) (1.00 hours), CDR Dietetic CPEU(s) (1.00 hours), CME-Designated Participation Credit (1.00 hours)

Large language models are the AI systems health professionals use most directly and understand least. This session traces the line from early natural language processing through word embeddings and recurrent networks to the transformer architecture behind current systems. The aim is an accurate mental model, not technical proficiency: what these systems do when they produce text, why they hallucinate, and what tokenization, embeddings, attention, temperature, fine-tuning, and prompt engineering mean in practice. A live screen-shared demonstration shows prompt structure changing output, and hallucination occurring.

Presenter

Simon Stone, PhD
Data Science Specialist
Dartmouth Libraries
Dartmouth College

Webinar Link

1. Describe, in non-technical language, how a large language model generates text including why it can produce plausible but incorrect output.
2. Define tokenization, embeddings, attention, fine-tuning, prompt engineering, and temperature.
3. Explain how prompt structure and model parameters change the quality including reliability of large language model output.

There is no fee for attending this Webinar, and pre-registration is not required. You will find the Webinar link above on this page.

In support of improving patient care, Dartmouth Health is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. 

American Medical Association (AMA)
Dartmouth Health designates this Live Activity for a maximum of 1.00 AMA PRA Category 1 Credits^TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

American Nurses Credentialing Center (ANCC)
Dartmouth Health designates this Live Activity for a maximum of 1.00 ANCC contact hours. 

Accreditation Council of Pharmacy Education (ACPE)
Dartmouth Health designates this knowledge-based activity for a maximum of 1.00 hour. Credit will be provided to NABP CPE Monitor within 60 days after the activity completion.

UAN JA0000201-0000-26-075-L99-P | UAN JA0000201-0000-26-075-L99-T

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If the activity is dietetics related but not targeted to RDs or DTRs, CPEUs may be claimed which are commensurate with participation in contact hours (1 hour/60 minutes = 1 CPEU).
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Dartmouth Health
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Dartmouth Health adheres to the ACCME’s Standards for Integrity and Independence in Accredited Continuing Education.  Any individuals in a position to control the content of a CE activity, including planners, faculty, authors, or others are required to disclose all financial relationships with ineligible companies^.  All relevant financial relationships have been mitigated prior to the commencement of the activity.

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