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How to Master the Art of Chain Prompting

Ever wondered how to master the art of chaining prompts to get the best out of your AI models? In this video, I’ll guide you through a comprehensive step-by-step process on how to implement chain prompting, helping you maximize the output quality and effectiveness of your AI tasks. Whether you're looking to enhance your writing, streamline content creation, or fine-tune your AI’s responses, this method is designed to elevate your work to the next level. What You’ll Learn: The basics of chain prompting and why it's essential Different chain prompting methods and when to use them How to integrate chain prompting into your existing workflows Practical examples and tips for optimizing your prompt chains Get Started: 🤖 Make Automation Blueprints (Import into Make.com): https://bit.ly/4cp84me 🌐 Visit My Agency Website: https://bit.ly/4cD9jhG 📞 Build Your AI Receptionist With Us: https://bit.ly/4e0sS4A 🚀 Work Together on Fiverr: https://bit.ly/3XorT7R 📅 Book a Consultation: https://bit.ly/3Ml5AKW 📰 Join My Newsletter: https://bit.ly/3WVEHlK 👋 About Me: Hello! I’m Mark, a seasoned Data Science Manager by day and an AI automation agency owner by night, hailing from Canada with a decade in the AI space. At Prompt Advisers, we specialize in cutting-edge AI solutions, helping individuals, businesses, and agencies fully harness applied AI. Having been featured in interviews and recognized for our innovative contributions, we’re dedicated to guiding you through the AI landscape. 🚀 My Goal: My mission is to empower you with the knowledge to explore AI technology in your ventures, whether you’re an individual, a business, or an agency. I aim to help you leverage applied AI to its fullest potential, providing insights, sharing experiences, and offering partnerships to bring your visions to life. Hashtags: #AIChainPrompting #PromptEngineering #AIOptimization #ContentCreation #ArtificialIntelligence #ClaudeAI #OpenAI #TechTutorial #BusinessAutomation #AIWorkflow #AITraining #MarkKashef 0:00 - Introduction: The power of chain prompting. 0:12 - Mark's struggle to find chain prompting resources. 0:26 - Introduction to the chain prompting concept. 0:50 - What is chain prompting? Simple explanation. 1:10 - Example: Basic chain prompting with feedback loops. 1:30 - Unintentional chain prompting: Feedback to improve output. 2:00 - Intentional vs. unintentional chain prompting. 2:45 - Scenario 1: Using chain prompting for complex tasks. 3:45 - Scenario 2: Piece-by-piece execution with chain prompting. 4:30 - Scenario 3: Progressive improvement with chain prompting. 5:00 - Example: Adjusting tone, formality, and style with chain prompting. 5:30 - Benefits of chain prompting for breaking down tasks. 6:00 - Understanding the rhythm of LLMs in chain prompting. 6:50 - Common use cases and effectiveness of chain prompting. 7:30 - Overview of different types of chain prompts. 7:45 - Method 1: Individual prompt chains. 8:30 - Method 2: Mix and match chains. 9:15 - Method 3: The committee chain. 10:10 - Method 4: The cheap chain. 11:10 - Effectiveness of cheap chain prompting with smaller models. 12:00 - Example: Building chain prompts in Make.com for automation. 12:50 - Walkthrough: Make.com interface for chain prompting. 13:45 - Example: Using Airtable to generate a presentation. 14:15 - Example: Using OpenAI and Claude for mix and match chains. 15:00 - Example: Running committee chain with multiple LLMs. 15:30 - Demo: Generating presentations with chain prompts in Airtable. 16:00 - Examining outputs from different chain prompt types. 16:50 - Analysis of outputs from GPT-4, Claude, and cheap chain. 17:30 - Power of chain prompting: How chains generate unique outputs. 18:00 - Conclusion: Recap of chain prompting’s power and flexibility. 18:15 - Call to action: Like, subscribe, and access automations.

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