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$2.4M of Prompt Engineering Hacks in 53 Mins (GPT, Claude)

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Summary ⤵️
In this video I'll run you through over six years (and several million dollars worth) of prompt engineering. I started with GPT-2 back in 2019, and have been using AI to make money ever since—so along the way I've naturally picked up quite a few AI & prompt engineering tips!
My software, tools, & deals (some give me kickbacks—thank you!)
Other places you can find me 😈
Why watch?
Hopefully I can help you improve your business, and in doing so, the rest of your life 🙏
Like, subscribe, and leave me a comment if you have a specific request! Thanks.
Chapters
00:00:00 Introduction to Prompt Engineering
00:00:16 Transitioning from Consumer to Playground Models
00:01:52 Optimizing Prompt Length for Better Performance
00:04:59 Simplifying Your Prompts
00:11:32 Understanding Prompt Types
00:15:41 Utilizing One and Few Shot Prompting
00:19:20 Conversational Engines vs Knowledge Engines
00:22:53 The Importance of Unambiguous Language
00:26:24 The Spartan Tone of Voice
00:27:12 Iterating Prompts with Data
00:32:34 Defining Output Formats Clearly
00:35:21 Avoiding Conflicting Instructions
00:36:42 Learning Data Formats: XML, JSON, CSV
00:42:23 Key Prompt Structure for Success
00:46:41 Generating Examples for AI
00:48:37 Choosing the Right Model for the Task
00:51:57 Conclusion and Call to Action
Watch me build my $300K/mo business live with daily videos + strategy ⤵️
Summary ⤵️
In this video I'll run you through over six years (and several million dollars worth) of prompt engineering. I started with GPT-2 back in 2019, and have been using AI to make money ever since—so along the way I've naturally picked up quite a few AI & prompt engineering tips!
My software, tools, & deals (some give me kickbacks—thank you!)
Other places you can find me 😈
Why watch?
Hopefully I can help you improve your business, and in doing so, the rest of your life 🙏
Like, subscribe, and leave me a comment if you have a specific request! Thanks.
Chapters
00:00:00 Introduction to Prompt Engineering
00:00:16 Transitioning from Consumer to Playground Models
00:01:52 Optimizing Prompt Length for Better Performance
00:04:59 Simplifying Your Prompts
00:11:32 Understanding Prompt Types
00:15:41 Utilizing One and Few Shot Prompting
00:19:20 Conversational Engines vs Knowledge Engines
00:22:53 The Importance of Unambiguous Language
00:26:24 The Spartan Tone of Voice
00:27:12 Iterating Prompts with Data
00:32:34 Defining Output Formats Clearly
00:35:21 Avoiding Conflicting Instructions
00:36:42 Learning Data Formats: XML, JSON, CSV
00:42:23 Key Prompt Structure for Success
00:46:41 Generating Examples for AI
00:48:37 Choosing the Right Model for the Task
00:51:57 Conclusion and Call to Action
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