1650 - 生成式AI 與 代理式AI 整合應用
Integrated Applications of Generative and Agentic AI
教育目標 Course Target
本課程將介紹最新世代的 AI 模型生態,包括 Gemini 3 Pro、GPT‑5.2、Claude、Llama、Qwen 等主流專有與開源模型,並比較其能力與應用場景。課程將帶領使用 aisuite、LangChain 等 Python 生態工具,以及 Gradio / Streamlit 建構互動式 AI 應用。將實作智慧型 Agent,使學生具備:
1.非結構化資料檢索與 RAG 能力
2.工具調用(Tool Use / Function Calling)
3.結構化資料處理與任務自動化
課程亦涵蓋多模態 AI,包含語言、影像、音訊等任務,掌握最新 AI 技術的核心能力。
This course will introduce the latest generation of AI model ecosystem, including Gemini 3 Pro, GPT‑5.2, Claude, Llama, Qwen and other mainstream proprietary and open source models, and compare their capabilities and application scenarios. The course will teach you how to use aisuite, LangChain and other Python ecological tools, as well as Gradio / Streamlit to build interactive AI applications. Intelligent Agent will be implemented to equip students with:
1. Unstructured data retrieval and RAG capabilities
2. Tool Use/Function Calling
3. Structured data processing and task automation
The course also covers multi-modal AI, including language, imaging, audio and other tasks, and masters the core capabilities of the latest AI technology.
參考書目 Reference Books
LangChain https://python.langchain.com/docs/tutorials/
Llama https://www.llama.com/docs/overview/
Hugging Face https://huggingface.co/learn
Streamlit https://docs.streamlit.io/
Gradio https://www.gradio.app/docs/gradio/interface
LangChain https://python.langchain.com/docs/tutorials/
Llama https://www.llama.com/docs/overview/
Hugging Face https://huggingface.co/learn
Streamlit https://docs.streamlit.io/
Gradio https://www.gradio.app/docs/gradio/interface
評分方式 Grading
| 評分項目 Grading Method |
配分比例 Percentage |
說明 Description |
|---|---|---|
|
Google Colab 程式作業 Google Colab program operation |
20 | aisuite 與 LangChain操作應用 |
|
Python 程式作業 Python programming homework |
30 | VScode開發Streamlit 實作應用 |
|
期末報告 Final report |
30 | 生成式AI應用實作 |
|
出席 Attend |
20 |
授課大綱 Course Plan
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Click the link below to view the detailed course plan
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課程資訊 Course Information
基本資料 Basic Information
- 課程代碼 Course Code: 1650
- 學分 Credit: 0-3
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上課時間 Course Time:Monday/5,6,7[M025]
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授課教師 Teacher:田振嘉
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修課班級 Class:資管系2-4
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選課備註 Memo:電腦教室
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