Certainty in an Uncertain AI Age
“Certainty in an Uncertain AI Age” addresses one method of verifying the responses of various Large Language Models (LLMs) like Claude, ChatGPT, and Copilot. By using prompt templates and agentic AI, users can understand and respond to the inherent biases in every LLM. A simple agentic framework will be provided.
Date and Time
Location
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- Downtown Paninos - 604 N Tejon Street
- Colorado Springs, Colorado
- United States 80903
- Starts 04 September 2026 06:00 AM UTC
- Ends 21 September 2026 06:00 PM UTC
- No Admission Charge
Speakers
Biography:
Mark’s career in cybersecurity and artificial intelligence can best be described by the word “eclectic”. Starting as a “tape monkey” preparing magnetic tapes for use in the Apollo program, he went on to be a programmer using FORTRAN to chart ocean temperature patterns, lead test engineer for critical communications systems, a systems engineer, then a cybersecurity engineer working on key weapons system based in Colorado Springs. He most recently served as lead Artificial Intelligence instructor for the Space Force.
Agenda
“Certainty in an Uncertain AI Age” addresses one method of verifying the responses of various Large Language Models (LLMs) like Claude, ChatGPT, and Copilot. By using prompt templates and agentic AI, users can understand and respond to the inherent biases in every LLM. A simple agentic framework will be provided.