Title: Week 01 Resources
Course: AIINFRA 201: Model Adaptation — Fine-Tuning & Quantization > Section: Week 01 — Adapt, Prompt, or Retrieve: The Model Customization Decision

📚 Resources

- Title: RAG vs. Fine-tuning vs. Prompt Engineering \| IBM Think · URL: https://www.ibm.com/think/topics/rag-vs-fine-tuning-vs-prompt-engineering
- Title: Hugging Face LLM Course - Chapter 11: Supervised Fine-Tuning (Introduction) · URL: https://huggingface.co/learn/llm-course/en/chapter11/1
- Title: Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? · URL: https://arxiv.org/pdf/2405.05904

Week 02 · Open Models, Licenses, and the Fine-Tuning Toolchain Setup

Notion ID: 392c08fd-0278-8149-a08a-c32344640927 Notion URL: https://app.notion.com/p/392c08fd02788149a08ac32344640927