AI & our careers | Prompt University

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Corporate Prompt Engineering with ChatGPT

Introduction

Introduction (8:16)

ChatGPT in a nutshell

What is a Large Language Model (LLM) ? (2:13)
Summarization (6:10)
Expansion (1:27)
Content Creation (1:32)
Translation (1:37)
Proofreading (0:57)
The intelligence of GPTs (2:27)
Reasoning (1:27)
Common Sense (1:34)
Coding (0:46)
On the horizon (1:07)
Training an LLM (3:47)
What & Why - Prompt Engineering (7:11)
Prompt Template (4:01)
Case Study - New Work From Home Policy (1:11)

Core Prompt Engineering Principles

The 8 Key Prompt Engineering Principles (1:21)
Principle 1 - Ask for quality (5:32)
Principle 2 - Provide context (4:56)
Principle 3 - Write clear instructions (1:09)
Principle 4 - Specify the output characteristics (2:33)
Case Study - Job Offer (2:46)
Case Study - Onboarding Agenda (3:38)
Case Study - Optimizing Supply Chain (2:38)
Exercise - Generate Your LinkedIn Bio (15:51)
Exercise - Brainstorm Ideas With ChatGPT (6:46)
Q&A - Output Variation (3:34)
Q&A - Output Reliability (7:00)
Q&A - Prompt Length (1:19)

Extended Prompt Engineering Principles

Principle 5 - Guide the model (2:59)
Case Study - Crafting a Performance Review (2:06)
Principle 6 - Add Data (2:58)
Case Study - Data Analysis (2:22)
Case Study - Avoiding Hallucinations (5:08)
Principle 7 - Give LLMs time to think (2:34)
Principle 8 - Iterate (0:42)

Advanced Prompt Engineering Tactics

Q&A Prompting (1:34)
Case Study - Career Coach (2:45)
Multi-step Prompting (1:50)
Dealing with Long Content (0:43)
Section Quizzes

AI & Ethics

Biases (1:55)
Transparency (0:43)
Fairness (1:32)
Proofreading (0:49)
Plagiarism (0:57)
Section Quizzes

An AI Future

LLM-powered Apps (1:02)
The New Normal (0:47)
AI & our careers (1:04)

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AI & our careers

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