From Prompts to Products: Four KEY Pillars to MAX your GenAI OUTPUT
3.1 هزار بار بازدید -
ماه قبل
-
LLMs are awesome, but things
LLMs are awesome, but things are getting CRAZY. How do you know what to focus on?
Are you ready to maximize GenAI in a world of infinite information? 🌐 As an engineer or product builder, it’s crucial to prioritize and utilize LLM Tech effectively for your career and product development. In this video, we tackle essential questions like how to best use LLM Tech, where to focus your time, and how to maximize your potential. 📈
We’ll dive into a simple framework that breaks down the pieces of modern information—text, code, images, and videos—showing you how to prioritize and manipulate these components using prompts and AI agents. 🚀
This is how we'll become an agentic engineer, mastering prompt engineering, prompt chains, and efficient AI workflows. We’ll explore practical examples for different use cases, whether you’re a marketing specialist or a software engineer. Understand how to leverage tools like GPT-4o (GPT-4 Omni) to enhance your work, boost productivity, and achieve high-quality outputs. 🔧💡
This video is a crucial steps to knowing how to use LLM technology effectively for YOUR specific role and use cases.
We'll offer you a framework to help you focus on on the new microsoft, openai, google, and opensource GenAI tools and tech that matter most for you.
On the channel we're obsessed with...
- Agentic technology and workflows
- Best practices with LLMs
- AI-driven development and AI-generated content
- AI for text, image, and video creation
- Gen AI prioritization and strategies
- AI tool utilization and increasing productivity
- AI Coding Assistance, and AI Engineers
- Personal AI Assistants and digital companions
Stay ahead in the rapidly evolving landscape of AI with our GenAI Prioritization framework to improving your economic output and learning ability.
🔔 Subscribe now and Don’t miss out on the future of AI-driven development!
🔥 POP OFF WITH AI.
🔗 Resources For YOU
Prepare for "GPT Next": GPT-5 is coming: 3 ways to prepare fo...
No, ChatGPT Sky is NOT a resource. It's a...: No, ChatGPT SKY is NOT an AI Assistan...
Learn anything with LLMs fast (Fishermans prompt): "With this prompt, I learned Pytest i...
📖 Chapters
00:00 Introduction to Gen AI and Information Overload
00:14 Key Questions for Engineers and Product Builders
00:55 Framework for Prioritizing GenerativeAI
01:18 The 4 Key Pillars of Modern Information for LLMs
01:50 The Power of Prompts in LLM Technology
03:13 Example Use Case: Marketing Specialist
04:07 Example Use Case: Software Engineer
05:10 The Guiding Question
07:18 MAXing your Learning Ability and Economic Output
08:17 MAXing your Output Quantity and QUALITY
09:40 Empty Youtube Channels, Deep Fakes and Information Filtering
11:02 Using the Generative AI Prioritization Framework
11:34 IndyDevDan Channel Mission - Agentic Engineering
#genai #gpt5 #promptengineering
Are you ready to maximize GenAI in a world of infinite information? 🌐 As an engineer or product builder, it’s crucial to prioritize and utilize LLM Tech effectively for your career and product development. In this video, we tackle essential questions like how to best use LLM Tech, where to focus your time, and how to maximize your potential. 📈
We’ll dive into a simple framework that breaks down the pieces of modern information—text, code, images, and videos—showing you how to prioritize and manipulate these components using prompts and AI agents. 🚀
This is how we'll become an agentic engineer, mastering prompt engineering, prompt chains, and efficient AI workflows. We’ll explore practical examples for different use cases, whether you’re a marketing specialist or a software engineer. Understand how to leverage tools like GPT-4o (GPT-4 Omni) to enhance your work, boost productivity, and achieve high-quality outputs. 🔧💡
This video is a crucial steps to knowing how to use LLM technology effectively for YOUR specific role and use cases.
We'll offer you a framework to help you focus on on the new microsoft, openai, google, and opensource GenAI tools and tech that matter most for you.
On the channel we're obsessed with...
- Agentic technology and workflows
- Best practices with LLMs
- AI-driven development and AI-generated content
- AI for text, image, and video creation
- Gen AI prioritization and strategies
- AI tool utilization and increasing productivity
- AI Coding Assistance, and AI Engineers
- Personal AI Assistants and digital companions
Stay ahead in the rapidly evolving landscape of AI with our GenAI Prioritization framework to improving your economic output and learning ability.
🔔 Subscribe now and Don’t miss out on the future of AI-driven development!
🔥 POP OFF WITH AI.
🔗 Resources For YOU
Prepare for "GPT Next": GPT-5 is coming: 3 ways to prepare fo...
No, ChatGPT Sky is NOT a resource. It's a...: No, ChatGPT SKY is NOT an AI Assistan...
Learn anything with LLMs fast (Fishermans prompt): "With this prompt, I learned Pytest i...
📖 Chapters
00:00 Introduction to Gen AI and Information Overload
00:14 Key Questions for Engineers and Product Builders
00:55 Framework for Prioritizing GenerativeAI
01:18 The 4 Key Pillars of Modern Information for LLMs
01:50 The Power of Prompts in LLM Technology
03:13 Example Use Case: Marketing Specialist
04:07 Example Use Case: Software Engineer
05:10 The Guiding Question
07:18 MAXing your Learning Ability and Economic Output
08:17 MAXing your Output Quantity and QUALITY
09:40 Empty Youtube Channels, Deep Fakes and Information Filtering
11:02 Using the Generative AI Prioritization Framework
11:34 IndyDevDan Channel Mission - Agentic Engineering
#genai #gpt5 #promptengineering
ماه قبل
در تاریخ 1403/03/07 منتشر شده
است.
3,151
بـار بازدید شده