10 minutesWhy Large Language Models Hallucinate
You can name the four kinds of hallucination and recognize which one you are looking at when a chatbot gets something wrong.
Tina Huang. A calm 19-minute map of the major model families — OpenAI's GPT line, Anthropic's Claude, Google's Gemini, plus the open-source players — and which tier inside each family is worth your time. After the article tells you "pick one and stick with it for a month," this video tells you what the dropdown menu inside that one is actually offering. Honestly opinionated without being a hot take.
Model names, rankings and default choices are especially unstable. Keep the beginner rule: choose a mainstream product that fits the job, then evaluate outputs on your own examples instead of trusting leaderboard claims.
Understand the product and model-family landscape well enough to choose one starting tool and stop endlessly comparing tabs.
Basic awareness that a chatbot product and the model selected inside it are different decisions.
Last reviewed: May 18, 2026
Continue through the same learning path with the next curated companion videos.
10 minutesYou can name the four kinds of hallucination and recognize which one you are looking at when a chatbot gets something wrong.
20 minutesYou leave with the five-part TCREI structure as a repeatable checklist for building and refining your own prompts.
60 minutesBuild a non-mystical mental model of LLMs as prediction systems with context windows, training data, sampling and failure modes.
Hand-picked external courses that go deeper on this topic.
Google Cloud
Google's own answer to 'what is generative AI, actually' — the non-technical counterpart to Elements of AI, aimed explicitly at sales, HR, marketing, and operations roles rather than engineers. Forty-five minutes to a real mental model of how generative AI differs from classic machine learning, with no code and no jargon.
Andrew Ng
Real time inside an LLM, learning to prompt deliberately and recognise where generative AI is genuinely useful versus where it's a trap. Calm, no-hype teaching — the perfect bridge from "I've tried ChatGPT once" to "I use it every day with confidence."