Congratulations on completing Introducing AI and ML in Network Operations!
恭喜您完成「AI 與 ML 在網路維運中的入門介紹」！
In this course, the following key points were covered:
本課程涵蓋了以下重點：
- Introduction to AI and MLAI 與 ML 簡介
- The difference between generative and predictive AI生成式 AI 與預測式 AI 的差異
- Basics of neural networks神經網路的基礎
- Overview of advanced algorithms used in generative AI生成式 AI 所使用的進階演算法概述
- Introduction to Retrieval-Augmented Generation (RAG)檢索增強生成（RAG）簡介
- Overview of Preprocessing, Embedding, Retrieval, and Generation steps in a RAG systemRAG 系統中預處理、嵌入、檢索與生成步驟的概述
- Summary of Cisco networking products that already utilize AI and ML已採用 AI 與 ML 的 Cisco 網路產品摘要
To summarize what you've learned, consider addressing these questions:
為總結您所學到的內容，請思考以下問題：
- What is the purpose of generative and predictive AI?生成式 AI 與預測式 AI 的目的是什麼？
- How is RAG different compared to training and fine-tuning?RAG 與訓練及微調有何不同？
- How would you utilize a RAG system to be able to ask it questions regarding your own network?您會如何運用 RAG 系統來針對自己的網路提出問題？