Master Prompt Engineering: A Non-Technical Guide To Chatgpt
Master Prompt Engineering: A Non-Technical Guide To Chatgpt
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 603.53 MB | Duration: 3h 31m
"Mastering Prompt Engineering with ChatGPT: Unlock the Power of Artificial Intelligence"
What you'll learn
How ChatGPT works
History of Artificial Intelligence
What kind of mistakes can ChatGPT make
How to prompt engineer to get the best results from ChatGPT
How a neural network works
How a neural network generates results
The ethics of AI
How to get the best results from ChatGPT
How to frame questions for ChatGPT
Get the best answers from ChatGPT
Prompt Engineering
Methodology of Prompt Engineering
Case Studies from Business and Science on Prompt Engineering
Best practices of Prompt Engineering
Requirements
Course is designed for non technical professionals
Students who want to learn about Artificial Intelligence and ChatGPT.
Enthusiasts who want to explore the world of Artificial Intelligence and ChatGPT.
Professionals who want to implement ChatGPT in their work.
Business Leaders who want to harness the power of ChatGPT
No prior experience of Prompt Engineering Required
Basic understanding of the English Language
Description
This course on "Mastering Prompt Engineering with ChatGPT" is designed to provide learners with a comprehensive understanding of how to use ChatGPT effectively. In this course, you will learn about the history of Artificial Intelligence, the basics of Natural Language Processing (NLP), how ChatGPT is made, how data is fed into it, what a neural network is, and how to ask questions to get the best out of ChatGPT.The course will start with an introduction to Artificial Intelligence and the types of AI, followed by an in-depth look at ChatGPT, its architecture, and applications. You will learn about the fundamentals of NLP, the techniques used, and the common types of mistakes made in NLP. Additionally, you will gain knowledge about how data is fed into ChatGPT and data pre-processing techniques.You will also learn about Neural Networks and their types, followed by how to ask questions to get the best out of ChatGPT. We will cover the importance of context in ChatGPT and best practices for prompt engineering.This course is designed for students, professionals, and enthusiasts who want to learn about Artificial Intelligence and ChatGPT. No previous background is required to take this course, although a basic knowledge of programming and data analysis can be helpful.By the end of this course, you will be able to implement ChatGPT in real-world applications, gain a comprehensive understanding of its working, and explore the future of ChatGPT and Artificial Intelligence. So, let's dive into the exciting world of Prompt Engineering with ChatGPT and unlock the power of Artificial Intelligence!
Overview
Section 1: Introduction and how to use ChatGPT
Lecture 1 Introduction Video. Welcome!
Lecture 2 What this course covers
Lecture 3 Introduction to ChatGPT
Lecture 4 Capabilities of ChatGPT
Lecture 5 Applications of ChatGPT
Lecture 6 What is Prompt Engineering?
Lecture 7 What is Prompt Engineering
Lecture 8 Elements of a Prompt
Lecture 9 General Tips for designing prompts
Lecture 10 Examples of Prompts
Lecture 11 Best practices for Prompt Engineering
Lecture 12 More Examples of Prompts
Lecture 13 Zero Shot Prompt
Lecture 14 Few Shot Prompt
Lecture 15 Chain of Thought Prompts
Lecture 16 Self Consistency Prompt
Lecture 17 General Knowledge Prompts
Lecture 18 Automatic Prompt Engineer
Lecture 19 Active Prompt
Lecture 20 Applications of ChatGPT - Examples
Lecture 21 More applications of ChatGPT
Lecture 22 The Future of ChatGPT
Lecture 23 Advanced Prompt Engineering
Lecture 24 How to give instructions to ChatGPT
Lecture 25 Learning Role Prompting
Lecture 26 Learning Few Shot Prompting
Lecture 27 Why we need Prompt Patterns
Lecture 28 Prompt Pattern Catalog - I
Lecture 29 Prompt Pattern Catalog - II
Lecture 30 Meta Language Pattern
Lecture 31 Error Resolution Pattern
Lecture 32 Alternative Approaches Pattern
Lecture 33 Explanation Pattern
Lecture 34 Fact Checklist Pattern
Lecture 35 Infinite Generation Pattern
Lecture 36 Game Play Pattern
Lecture 37 Refusal Breaker Pattern
Lecture 38 Context Manager Pattern
Lecture 39 Recipe Pattern
Lecture 40 Examples of Good Prompt Engineering
Lecture 41 Understanding AI Minds
Section 2: Basic Applications of ChatGPT
Lecture 42 Summarizing text with ChatGPT
Lecture 43 Structuring Data using ChatGPT
Lecture 44 Writing an email with ChatGPT
Lecture 45 Blog posts with ChatGPT
Lecture 46 Study Buddy with ChatGPT
Lecture 47 Coding Assistance with ChatGPT
Lecture 48 Excel Formulas and Data Analytics using ChatGPT
Lecture 49 Multiple choice questions with ChatGPT
Lecture 50 Case studies on prompting
Section 3: Case Studies for Professionals
Lecture 51 Basics of Prompting - Recap
Lecture 52 Marketing Prompts using ChatGPT
Lecture 53 HR Prompts using ChatGPT
Lecture 54 Finance Prompts using ChatGPT
Lecture 55 Developer Prompts using ChatGPT
Lecture 56 Excel Prompts using ChatGPT
Section 4: History of AI, mechanics of ChatGPT and Applications
Lecture 57 History and Evolution of AI
Lecture 58 History of Neural Networks
Lecture 59 History of Natural Language Processing
Lecture 60 History of Large Language Models
Lecture 61 How ChatGPT works
Lecture 62 DAN and prompt hacking
Lecture 63 Jeoffrey Hinton's views on what AI can achieve
Section 5: Ethics of AI and implications
Lecture 64 Introduction
Lecture 65 Potential Implications of ChatGPT's humanlike output
Lecture 66 Pros and Cons of ChatGPT's human like response
Lecture 67 Identify the limitations and negative impacts of ChatGPT
Lecture 68 Understand the legal implications of ChatGPT
Lecture 69 Discover the future opportunities for AI technologies
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