The video provides actionable tips on prompt engineering, a topic of high interest due to the rise of AI. It breaks down complex techniques into understandable steps with clear examples, making it valuable for viewers looking to improve their AI interactions.
Summary
This video explains three key techniques for effective prompt engineering with AI: assigning a persona, using chain of thought, and providing few-shot examples. By implementing these methods, users can achieve more predictable and high-quality outputs from AI models.
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Transcript, structure and on-screen text
6 beats, a 193-word transcript and 68 lines of on-screen text — the parts you need to write your own version.
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Original caption
You're using ChatGPT wrong. Here's how Google engineers actually do it. Most people: "Write me a marketing email" ❌ Random garbage output Google engineers: *Uses this 3-step system* ✅ Consistently brilliant results The Framework: 1. Persona + Structure → <persona>You are CMO of B2B SaaS with 10 years experience</persona> → XML tags = Anthropic's secret sauce 2. Chain of Thought → Add: "Think step-by-step before responding" → Google's research proves this works 3. Show Examples → "Good email looks like: [example]" → AI copies your quality I tested this on 500 prompts. 0 bad outputs. This is how pros use AI 🔥 What's your biggest AI challenge? Drop it in the comments👇 #TechTok #ChatGPT #BusinessTips #ProductivityHacks #EntrepreneurLife
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