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

Explore the key methods for optimizing AI chatbot responses in this 13-minute IBM tutorial. Martin Keen explains three essential strategies for improving large language models: Retrieval Augmented Generation (RAG) for extending knowledge with external data sources, fine-tuning for refining model responses to specific domains, and prompt engineering for crafting effective instructions. Learn how these complementary approaches build domain expertise and enhance AI outputs, with practical insights on when to use each method for optimal results. The video includes information about IBM's watsonx AI Assistant Engineer certification program.