42 minutesPrompt Engineering Tutorial – Master ChatGPT and LLM Responses
See how examples change model behavior and learn when few-shot prompting is worth the extra setup.
AI Explained. Older than the article (March 2024), but the methodology is what's useful: a single careful reviewer running the same hard tasks — OCR, theory of mind, instruction following, math — through three frontier models side by side and showing exactly where each one cracks. The model names are dated, the framework for comparing models is not.
Treat this as a testing-method video, not a current ranking. The concrete winners are historical; the useful part is running the same examples, checking failure modes and resisting vague "best model" claims.
See a structured comparison method you can reuse when deciding which model is good enough for a task.
Know that Claude 3, Gemini 1.5 and GPT-4 are no longer the frontier baseline.
Last reviewed: May 18, 2026
Continue through the same learning path with the next curated companion videos.
42 minutesSee how examples change model behavior and learn when few-shot prompting is worth the extra setup.
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Hand-picked external courses that go deeper on this topic.
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."
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.
Jerry Liu
Naive RAG (vector search → stuff into prompt) is the version that ships first and disappoints fastest. This short course shows you the upgrade: an agent that plans retrieval, picks tools, compares sources, and answers multi-document questions. Two hours, immediately applicable to a real product.