Youtor
Learn Prompt Engineering Full Beginner Crash Course 5 HOURS
>> YOUR LINK HERE: ___ http://youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course! • Stop memorizing random prompts. Instead, learn how Large Language Models (LLMs) actually work under the hood and how to use them effectively for your own use cases. • After this course, continue your journey with Scott’s full Prompt Engineering Bootcamp, where you’ll build your own AI projects, explore advanced techniques, use autonomous agents, much more π • π€© Prompt Engineering Bootcamp: https://zerotomastery.io/courses/prom... • π€ Use code (limited-time only): YTPE10 to get 10% OFF (for life!) • π Subscribe for more free tutorials and exclusive content: https://links.zerotomastery.io/youtube • ========= • π Course Handbook: https://half-money-bd8.notion.site/Co... • ποΈ Crash Course Files: https://drive.google.com/drive/folder... • ========= • β° Timestamps: • 00:00 Introduction • 02:10 What to Expect? • 08:39 What is Prompt Engineering? • 15:14 Why is Prompt Engineering Even a Thing? • 23:55 Breaking GPT • 28:07 Applied Prompt Engineering • 32:41 Applied Prompt Engineering with NASA • 42:20 Why is Prompt Engineering Important to You? • 46:36 The Latest: Am I Wrong? • 46:46 What I'm Using Part 1 • 48:17 What I'm Using Part 2 • 52:30 Setting Up Your Playground • 52:39 Multi-Modality and Tools in LLMs • 1:04:31 Choose Your LLM! • 1:04:41 Getting Started with ChatGPT • 1:06:30 The Basics of ChatGPT • 1:10:49 ChatGPT App • 1:12:09 ChatGPT Plus • 1:14:15 Project Introduction • 1:16:38 Setting Up Your Replit Account • 1:21:32 The First Try • 1:26:23 Building Our Snake Game Part 1 • 1:32:45 Building Our Snake Game Part 2 • 1:38:44 Exercise: Make It Prettier! • 1:38:54 Introduction to LLMs Part 1 • 1:44:48 Introduction to LLMs Part 2 • 1:49:08 Tokens • 1:54:36 Word Guessing Machines? • 2:00:36 Thinking Like LLMs (Roll a Dice) • 2:07:42 Inside LLMs • 2:19:03 The Transformer Model • 2:26:51 Exercise: Visualize the LLM Architecture • 2:30:57 The Training Process • 2:41:03 Base Model vs. Assistant Model • 2:48:19 Thinking Like LLMs (The Reversal Curse) • 2:53:43 Exercise: The Reversal Curse • 2:53:53 Artificial General Intelligence (AGI) • 2:59:31 Exercise: Use ChatGPT to Read the Research • 3:04:29 The World of LLMs • 3:10:44 Build Your Second Game (Tic Tac Toe with AI opponent) • 3:10:54 Overview of Our Prompting Framework • 3:14:34 The Standard Prompt • 3:19:17 Prompt Library • 3:19:27 Exercise: Get Hyped to Learn! • 3:23:41 The Setup • 3:24:52 The System Message Part 1 • 3:31:10 The System Message Part 2 • 3:37:03 Exercise: Strengthen Your System Message • 3:43:55 Context - What it is • 3:49:22 Context - The Context Window • 3:58:53 Context - Lost in the Middle • 4:10:29 Personas and Roles • 4:19:21 Personas Tone, Style, and Voice • 4:31:19 Exercise: Talk To Your Hero • 4:31:29 Custom Instructions • 4:42:53 Thinking Like LLMs (Can GPT Keep a Secret?) • 4:47:48 Exercise: Get ChatGPT to Spill the Tea - Part 1 • 4:49:42 Exercise: Get ChatGPT to Spill the Tea - Part 2 • 4:51:33 Exercise: Get ChatGPT to Spill the Tea - Part 3 • 4:56:07 Final Words • ========= • π₯ Who is Scott's Prompt Engineering course for? • https://zerotomastery.io/courses/prom... • βΎ Anyone aiming to gain a comprehensive and practical understanding of modern techniques in prompt engineering and LLMs. • βΎ Developers looking to understand how to work with LLMs that are implemented in their AI-driven applications or within their organizations • βΎ Graduates of coding bootcamps or online AI courses who wish to delve deeper into the nuances of prompt engineering and explore beyond the introductory concepts • βΎ Individuals aspiring to integrate AI and LLMs into their career • βΎ You seek a structured guide to learning how to design effective prompts and interact with LLMs from scratch, progressing to proficiency levels that position you attractively compared to those without AI knowledge • βΎ Students who find beginner tutorials on LLMs inadequate, as they do not progress beyond basic examples and fail to provide advanced skills • βΎ Developers eager to transition into AI-focused roles, leveraging the powerful capabilities of LLMs for tasks such as iterating, summarizing, transforming, inferring, and expanding information. • βΎ You are an AI enthusiast who wants to learn more in a fun, interactive manner • ========= • Graduates of Zero To Mastery have been hired at Google, Tesla, NVIDIA, Amazon, Apple, IBM, JP Morgan, Meta, NASA, Shopify + other top companies. • Many are also working as top-rated Freelancers getting paid $1,000s while working remotely around the world. • π Here are just a few of them: https://zerotomastery.io/testimonials • This can be you. • ========= • Start learning how to use LLMs properly now π https://zerotomastery.io/courses/prom... • #zerotomastery #promptengineering
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