生成式人工智慧(生成式AI)是一種能夠創造全新內容和想法的人工智慧技術。它可以透過學習各種複雜主題,例如人類語言、程式設計語言、藝術、化學、生物學等,來解決新的問題。
在課程中,您將了解:
1.什麼是生成式AI,以及它的應用領域
2.大型語言模型的概念與應用
3.提示工程
4.LLM結合RAG應用與實作
5.多模態模型概念與實作
6.AWS生成式AI服務
本課程將以概念講述、案例分享與搭配實作方式,讓學生了解生成式AI的基礎概念,並進而使用AWS雲端服務進行生成式AI相關案例實作。
Generative Artificial Intelligence (general AI) is an artificial intelligence technology that can create new content and ideas. It can solve new problems by learning various complex topics, such as human language, programming language, art, chemistry, biology, etc.
During the course, you will learn:
1. What is Generative AI and its application domain
2. The concept and application of large language models
3. Prompt project
4.LLM combines RAG application and implementation
5. Multimodal model concept and implementation
6. AWS Generative AI Service
This course will use conceptual presentation, case sharing and collocation practice methods to allow students to understand the basic concepts of generative AI, and then use AWS cloud services to perform generative AI-related case implementations.
1.自編講義
2.Amazon Bedrock Workshop Tutorial
1. Self-edited speech
2. Amazon Bedrock Workshop Tutorial
評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
---|---|---|
出席出席 Attend |
15 | 三次缺席學期成績不及格 |
LAB實作LAB實作 LAB implementation |
50 | |
期中實作期中實作 Mid-term implementation |
15 | |
期末實作期末實作 Final implementation |
15 | |
自主學習 自主學習 Independent learning |
5 |