這門課程教你如何使用 Qwen 2.5、Deepseek、Grok、ChatGPT 等熱門大型語言模型，結合 Ollama 平台在本地端部署與呼叫 LLM，實作互動式應用程式。你將學會使用命令列操作 LLM、透過 Python 建立 AI 應用界面，並進一步學習如何微調 Qwen 模型以提升準確性，是進入本地 AI 模型應用與多模型整合的實戰型課程。
此教程為高質量英文原版視頻教學資源，英文不好的可以使用翻譯插件學習。
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教程名稱：AI Development with Grok, Qwen2.5, Deepseek & ChatGPT
下載連結：https://www.nidown.com/chatgpt-423183.html
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點擊查看詳情：https://www.kkmac.com/go/chatgpt
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英文原版介紹
Last updated 6/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 4m | Size: 1.95 GB
Build real-world AI apps with Qwen 2.5, Deepseek, ChatGPT, Mistral, Gemma, LLama, Python & Ollama. Master fine tuning.
What you’ll learn
Understand what are large language models (LLMS) and how it works
Build AI-powered applications using Deepseek, Qwen2.5 and Ollama
Setting Up and Running Qwen 2.5 and DeepSeek Locally Using Ollama
Create UI Application that Interacts with Large Language Model such as Qwen and Deepseek
Use Ollama CLI with Qwen2.5 and Deepseek
Basic command-line proficiency (executing scripts, installing packages)
Master fine tuning with Qwen2.5
Learn AI Development With Grok
Learn AI Development with ChatGPT
Requirements
A computer with macOS, Windows, or Linux
Internet connection
Optional: Python Proficiency for Enhancing Real-World Cases Presented in the Course with Greater Complexity
Essential command-line skills (running scripts, managing packages)
