Episode 1: Understanding Large Language Models — The Brains Behind Modern AI
In this debut episode of RHEMINISCING with Dr. Tony Rhem, Dr. Tony draws on over four decades of experience in artificial intelligence and knowledge management to demystify one of today’s most transformative technologies — Large Language Models (LLMs).
From his early days building expert systems in Prolog and Lisp to today’s generative AI revolution, Dr. Tony explains how LLMs work, why they matter, and what it takes to use them responsibly. Joined by his AI co-host, Georgia, they unpack the inner workings of LLMs, how they process language, generate human-like responses, and are reshaping how organizations manage, retrieve, and trust knowledge.
This episode goes beyond the hype to explore AI readiness, data integrity, and ethical oversight, tackling questions such as:
- Can we trust AI systems to make decisions in healthcare, law, or finance without human oversight?
- What happens when poor information architecture undermines AI outputs?
- How do we balance accessibility, innovation, and governance in the age of generative AI?
If you’ve ever wondered what really powers chatbots, copilots, or intelligent knowledge portals, or how AI is transforming the way we think, work, and learn, this episode is for you!
Key themes: AI literacy • Large language models • Generative AI • AI governance • Digital ethics • Responsible innovation
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