Why Large Language Models Behave the Way They Do

Large language models explained: why AI says what it says and how LLMs really work Deep dive into next token prediction, AI pattern matching, emergent behavior in AI, and AI language models behavior Understand ChatGPT and AI so you can use LLM strengths, avoid weaknesses, and confidently act on what they tell you

What You'll Learn:

• See clearly how large language models work as next token prediction systems—not magic brains—and why that matters for how you use them
• Understand AI pattern matching at scale: billions of parameters, massive training data, and how this leads to fluent, human‑like language
• Recognize where emergent behavior in AI comes from and why LLMs can appear to reason, plan, or understand the world
• Identify core LLM strengths—like flexible task generalization and rapid drafting—and design prompts that play to those strengths
• Spot common LLM weaknesses and failure modes, including AI hallucinations, and learn practical ways to reduce their impact
• Learn 4 concrete analogies that make the behavior of ChatGPT and other AI models intuitive to remember and explain to others
• Debunk 5 common misconceptions about how AI language models behave so you don’t overtrust or underuse them
• Turn insight into action with a simple 3‑step follow‑through plan: capture key ideas, find one personal use case, and take one small action this week