Prompt Engineering – Go from Beginner to Advanced in 20 minutes (Includes PDFs and Guides)

Video Description

In this video, Tony DeSimone breaks down prompt engineering into simple, actionable steps—from understanding how large language models actually work to mastering advanced techniques like chaining prompts and building custom GPTs. By focusing on clarity, specificity, and intent, viewers learn how to dramatically improve the quality of AI-generated outputs. Link to Prompt Characteristic Tips - https://drive.google.com/file/d/1js3jk8D66FQqyPdhKcOHybyXkRB42rtG/view?usp=sharing Link to Prompt Chatbot - https://chatgpt.com/g/g-QtnLlSsMS-prompt-genius 🗓 Timeline of Key Topics: Timestamp Topic 00:01–00:42 Why Prompting Matters — Framing the power of language models and the importance of asking better questions. 00:42–01:29 Overview — What the video will cover: LLM mechanics, prompt characteristics, advanced techniques. 01:29–03:53 How LLMs Work — Trained on billions of words, using tokenization and pattern prediction—not understanding. 03:53–05:43 Why Prompt Structure Matters — Unique words carry more weight; better prompts = better responses. 05:53–15:37 Top 10 Prompt Tips — Covers clarity, descriptiveness, tone, role-play, limiting words, positive phrasing, examples, stating the outcome, output length, and format. 15:54–18:34 Advanced Tips → 1) Chain prompts for depth → 2) Ask AI to refine prompts → 3) Use GPTs to auto-improve prompt quality 18:34–20:18 Final Thoughts & Tools — QR code to Tony’s MyGPT, encouragement to like/share, and access to slides and PDFs.