RAG, Fine-Tuning & Prompt Engineering: Master AI Model Optimization π
Discover the key differences and best practices for optimizing AI models with RAG, fine-tuning, and prompt engineering. Plus, get certified as a watsonx AI Assistant Engineerβregister now and save 20% with code IBMTechYT20! π₯

IBM Technology
444.3K views β’ Apr 14, 2025

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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 β https://ibm.biz/BdndTs
Learn more about RAG vs. Fine-Tuning vs. Prompt Engineering here β https://ibm.biz/BdndTi
How do AI chatbots deliver better responses? π€ Martin Keen explains RAG π οΈ, fine-tuning π―, and prompt engineering βοΈβmethods that extend knowledge, refine responses, and build domain expertise. Learn how these strategies optimize large language models and improve AI outputs today! π
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM β https://ibm.biz/BdndTj
#retrievalaugmentedgeneration #finetuning #promptengineering
Learn more about RAG vs. Fine-Tuning vs. Prompt Engineering here β https://ibm.biz/BdndTi
How do AI chatbots deliver better responses? π€ Martin Keen explains RAG π οΈ, fine-tuning π―, and prompt engineering βοΈβmethods that extend knowledge, refine responses, and build domain expertise. Learn how these strategies optimize large language models and improve AI outputs today! π
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM β https://ibm.biz/BdndTj
#retrievalaugmentedgeneration #finetuning #promptengineering
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Views
444.3K
Likes
8.8K
Duration
13:10
Published
Apr 14, 2025
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