[初賽第二階段] 改進人工智慧系統（1） [Preliminary Phase 2] Improving AI Systems (1)

Big Concept: Improving AI Systems Topic: RAG vs. Fine-Tuning Bloom's Taxonomy: remember, understand Learning Goal: Deliver a clear lecture explaining two common ways to improve large language model applications: Retrieval-Augmented Generation and fine-tuning. First, help students understand the basic difference between the two methods: RAG gives the model access to external information at answer time, while fine-tuning changes the model’s behavior through additional training. Key Learning Points: RAG; model parameter fine-tuning