Watch RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models Video Tutorial


Tutorial Details & Info

Tutorial Title: RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models
Instructor / Channel: IBM Technology
Lesson Runtime: 13:10 Minutes
Publish Date: April 14, 2025
Total Students / Views: 698,357 views

Explore this free video tutorial for RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models created by IBM Technology. This full video course has a total duration of 13:10 minutes with crystal clear HD video and audio quality. Follow along to build your skills on any desktop PC, Mac, tablet, or smartphone.

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Course Description & Lesson Notes

Official Video Description:

Ready to become a certified watsonx AI Assistant Engineer? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdndTs Learn more about RAG vs. Fine-Tuning vs. Prompt Engineering here → https://ibm.biz/BdndTi How do AI chatbots deliver better responses? 🤔 Martin Keen explains RAG 🛠️, fine-tuning 🎯, and prompt engineering ✏️—methods that extend knowledge, refine responses, and build domain expertise. Learn how these strategies optimize large language models and improve AI outputs today! 🚀 AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdndTj #retrievalaugmentedgeneration #finetuning #promptengineering

🌐 Web & Search Guide Notes (DuckDuckGo, Yahoo & Bing):

Learn how to master RAG Vs Fine-Tuning Vs Prompt Engineering: Optimizing AI Models with this complete video tutorial guide. In this video, you will gain step-by-step knowledge for RAG Vs Fine-Tuning Vs Prompt Engineering: Optimizing AI Models.

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🎓 Lesson Overview & Learning Outcomes:

Welcome to the step-by-step video guide for RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models taught by IBM Technology. This tutorial provides a comprehensive walkthrough designed to take you from foundational principles to practical implementation.

💡 Key Topics Covered in This Course:

  • Core Fundamentals & Setup: Understanding the workspace, essential tools, and initial setup for RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models.
  • Step-by-Step Practical Demonstration: Hands-on implementation guided by IBM Technology with real-world examples.
  • Best Practices & Key Shortcuts: Time-saving workflows, keyboard shortcuts, and industry-standard recommendations.
  • Troubleshooting & Common Pitfalls: How to avoid common beginner errors and optimize your workflow for peak efficiency.

📋 Recommended Prerequisites & Study Notes:

No prior advanced experience is required. Follow along with the video player above on any desktop computer, tablet, or mobile device. Pause and rewind at key steps to practice along with the instructor.

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