What the Heck Is an LLM (and Why It Matters)

You don’t need a PhD to understand how large language models work. You just need the right metaphor.

In this session, you’ll learn how ChatGPT and other LLMs actually “think” — not in human language, but in numbers and probabilities. We’ll demystify how they’re trained, how they make decisions, and why they’re less like magical robots and more like autocorrect on performance-enhancing drugs.

This is your foundation. Once you understand how the machine works, you’ll use it way more effectively.
You’ll walk away with:

• 🧠 A dead-simple mental model: LLMs = “autocomplete with taste”
  
• 🔍 How training data, token prediction, and model snapshots actually work
  
• 🚫 What AI can’t do yet (especially for visuals) — and where it’s heading

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