We hear the term “large language model” everywhere these days—GPT-4, Claude, Gemini—but what does it actually mean? Are LLMs just next-gen autocomplete machines? Are they intelligent? And how do they really work under the hood?
In this episode, I break it all down in plain English—no math degree required.
✅ What LLMs actually are (and what they aren’t)
🧱 How tokens work like building blocks of language
🧠 What transformers do—and why they changed everything
📍 How embeddings create a map of meaning
🔧 Why size isn’t everything when choosing an AI model
💼 Real-world business use cases across IT, HR, marketing, and more
⚠️ And why understanding these models is essential for leaders today
Whether you’re a tech veteran, a business executive, or just curious about AI, this episode will leave you smarter and better equipped to lead in the age of generative AI.
📖 Read the full write-up: Behind the Buzzwords: What Is a Large Language Model, Really?