本課程《Build AI Apps with Qwen 2.5, Deepseek, ChatGPT, Mistral, Ollama》深入講解如何使用 Qwen 2.5、Deepseek、ChatGPT、Mistral、Gemma、LLaMA 等主流大語言模型（LLMs），結合 Ollama 和 Python，在本地環境中構建真實可用的 AI 應用，並掌握模型微調（fine-tuning）等關鍵技術。
你將學習如何脫離雲服務，自主部署和運行 LLM，包括本地搭建環境、使用 Ollama CLI、開發交互式 UI 應用、優化推理性能和保障數據隱私。課程還介紹如何用 Grok 和 ChatGPT 進行項目開發，以及如何通過自定義微調實現模型的高度適配。這是面向開發者的 AI 獨立開發實戰指南，適合希望跳出雲計算限制、提升 AI 控制力與項目效率的技術人員。
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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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最便捷、最實惠的 ChatGPT Plus 升級服務來了！！！
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)
