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

Name: Prompt Engineering Bootcamp (Working With LLMs): Zero to Mastery
Price: 9 USD
Availability: InStock

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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#	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