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RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models
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AI Fundamentals - RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models

4.0 (2)
23 learners

What you'll learn

This course includes

  • 7.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

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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

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