Speaker(s): 

Duncan Dobbins, PharmD, MHI, Geisinger - has nothing to disclose.

Moderator(s): 

Bruce Levy, MD, Staff, Geisinger - has nothing to disclose. 

Learning Objectives: 

At the conclusion of this session, the participant should be able to: 

• define key AI terminology and differentiate LLMs from other machine-learning models.
• explain how tokenization and attention underpin LLM behavior and relate these mechanics to effective prompt design.
• apply prompting techniques to generate reliable output.
• evaluate LLM solutions, distinguishing strong from weak offerings, and identify key indicators.
• describe high-level agent workflows and LLM enhancement techniques.

Disclosure of Relevant Financial Relationships with/without Commercial Interests:

The Planning Committee consisting of Bruce Levy, MD, Dean Parry, RPh, Trang Dang, MD, and Amanda Staskiel, RN have no identified disclosures. 

CE Committee Member/Content Reviewers have nothing to disclose. 

Any/All relevant financial relationships have been mitigated. 

Content Disclosure: 

This presentation/content is HIPAA compliant. 

Commercial Support for this Session

None