Prompt Engineering Bootcamp (Working With LLMs): Zero to Mastery

14h 24m 46s
English
Paid
July 9, 2024

Stop memorizing random prompts. Instead, learn how Large Language Models (LLMs) actually work and how to use them effectively. This course will take you from beginner to mastering LLMs by teaching you how to create your own AI tools that will take your career to the next level.

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Learn how to work with LLMs and AI. We guarantee you that this is the most comprehensive and up-to-date prompt engineering bootcamp course. You're going to learn the skills needed to be in the top 10% of using AI in the real world.

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# Title Duration
1 Learn To Work With LLMs with Scott Kerr 01:01
2 Course Introduction 06:20
3 What is Prompt Engineering? 06:25
4 Why is Prompt Engineering Even a Thing? 08:32
5 Breaking GPT 04:03
6 Applied Prompt Engineering 04:25
7 Applied Prompt Engineering with NASA 09:30
8 Why is Prompt Engineering Important to You? 04:07
9 What I'm Using - Part 1 01:22
10 What I'm Using - Part 2 (OpenAI Playground) 04:03
11 Multi-Modality and Tools in LLMs 11:42
12 Getting Started with ChatGPT 01:40
13 The Basics of ChatGPT 04:09
14 ChatGPT App 01:12
15 Optional: ChatGPT Plus 01:56
16 Project Introduction 02:14
17 Setting Up Your Replit Account 04:45
18 The First Try 04:42
19 Building Our Snake Game - Part 1 06:13
20 Building Our Snake Game - Part 2 05:50
21 Introduction to LLMs - Part 1 05:45
22 Introduction to LLMs - Part 2 04:12
23 Tokens 05:18
24 Word Guessing Machines? 05:51
25 Thinking Like LLMs - Roll a Dice 06:57
26 Inside LLMs 11:12
27 The Transformer Model 07:39
28 Exercise: Visualize the LLM Architecture 03:57
29 The Training Process 09:58
30 Base Model vs. Assistant Model 07:07
31 Thinking Like LLMs - The Reversal Curse 05:15
32 Artificial General Intelligence (AGI) 05:29
33 Exercise: Use ChatGPT to Read the Research 04:48
34 The World of LLMs 06:06
35 Overview of Our Prompting Framework 03:31
36 The Standard Prompt 04:34
37 Exercise: Get Hyped to Learn! 04:05
38 The Setup 01:02
39 The System Message - Part 1 06:08
40 The System Message - Part 2 05:44
41 Exercise: Strengthen Your System Message 06:43
42 Context - What it Is 05:18
43 Context - The Context Window 09:22
44 Context - Lost in the Middle 11:27
45 Personas and Roles 08:43
46 Personas - Tone, Style and Voice 11:50
47 Custom Instructions 11:15
48 Thinking Like LLMs - Can GPT Keep a Secret? 04:46
49 Exercise: Get ChatGPT to Spill the Tea - Part 1 01:45
50 Exercise: Get ChatGPT to Spill the Tea - Part 2 01:43
51 Exercise: Get ChatGPT to Spill the Tea - Part 3 04:25
52 The User Message 02:10
53 Be Clear and Specific 03:53
54 Delimiters 05:16
55 Exercise: Identify Delimiters 03:26
56 X-Y Problem 06:11
57 In-Context Training 01:02
58 Zero Shot Prompting 01:48
59 One Shot and Few Shot Prompting 09:49
60 Language Models Are Few-Shot Learners 03:49
61 How Many Examples? 02:24
62 Thinking Like LLMs - But Wait... 05:37
63 Chain-of-Thought Prompting - Part 1 05:25
64 Chain-of-Thought Prompting - Part 2 05:46
65 Zero Shot CoT 09:30
66 Exercise: Imposter Syndrome 02:57
67 Career Coach Ideation 07:33
68 The Setup - Persona 06:03
69 The Setup - Context and Commands 05:43
70 The Instructions - Modes 12:21
71 The Instructions - Chain of Thought 03:52
72 The Instructions - Gamify 09:02
73 Meet Your Career Coach 19:54
74 The Output 01:36
75 Length 12:34
76 Formats 07:43
77 Exercise: Output an Excel File 02:31
78 Exercise: Make a Flowchart 04:02
79 Jailbreak! 07:26
80 Thinking Like LLMs - Prompt Injection 09:18
81 Introduction to Hyperparameters and the OpenAI Playground 03:16
82 Temperature 10:26
83 Top P 04:09
84 Frequency and Presence Penalties 04:39
85 Stop Sequences 05:23
86 Setup Demo: Getting Your API Key 02:24
87 Setup Demo: Downloading AutoGPT 01:04
88 Setup Demo: Installing Docker 03:27
89 Launching Your Autonomous Agent - Part 1 03:26
90 Launching Your Autonomous Agent - Part 2 01:22
91 It's Aliiiiiive! Running Your Autonomous Agent 04:52
92 Task 1: Hello World - Your First Website 16:18
93 Task 2: Python Program - Palindrome Checker 08:41
94 What Are Open Source LLMs and Why Are They Important? 06:51
95 Chatbot Arena Leaderboard 07:53
96 Battle of the Intelligence Tests 14:39
97 Exercise: Create Your Own Test Prompt (Totem) 01:36
98 Introduction to LMStudio 02:38
99 Setting Up Your Own Model - Part 1 02:52
100 Setting Up Your Own Model - Part 2 09:39
101 Introduction 01:07
102 Auto-Priming 10:51
103 Chain of Density Prompting 18:17
104 Prompt Variables 07:14
105 Prompt Chaining 08:39
106 Prompt Chaining - Programmatic Visualization 17:41
107 Exercise: Prompt Chaining - Customer Support 22:34
108 Thinking Like LLMs - Dark Magic 09:58
109 XML Tags - There's More Than Meets The Eye! 09:18
110 Emotional Stimuli - Part 1 18:37
111 Emotional Stimuli - Part 2 04:43
112 Emotional Stimuli - Part 3 (But Why?) 07:18
113 Self-Consistency 13:45
114 ReAct Prompting 21:35
115 ReAct + CoT-SC 16:48
116 Applied Prompt Engineering with CRISPR - Part 1 13:41
117 Applied Prompt Engineering with CRISPR - Part 2 14:53
118 Tree of Thoughts - Part 1 14:57
119 Tree of Thoughts - Part 2 04:57
120 Tree of Thoughts - Part 3 (ToT via Code) 11:34
121 Tree of Thoughts - Part 4 (ToT via Chaining) 22:12
122 Tree of Thoughts - Part 5 ("Zero Shot" ToT) 12:27
123 Thank You! 01:18

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