AI Development with Grok, Qwen2.5, Deepseek & ChatGPT

本课程《Build AI Apps with Qwen 2.5, Deepseek, ChatGPT, Mistral, Ollama》深入讲解如何使用 Qwen 2.5、Deepseek、ChatGPT、Mistral、Gemma、LLaMA 等主流大语言模型（LLMs），结合 Ollama 和 Python，在本地环境中构建真实可用的 AI 应用，并掌握模型微调（fine-tuning）等关键技术。你将学习如何脱离云服务，自主部署和运行 LLM，包括本地搭建环境、使用 Ollama CLI、开发交互式 UI 应用、优化推理性能和保障数据隐私。课程还介绍如何用 Grok 和 ChatGPT 进行项目开发，以及如何通过自定义微调实现模型的高度适配。这是面向开发者的 AI 独立开发实战指南，适合希望跳出云计算限制、提升 AI 控制力与项目效率的技术人员。

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教程名称：AI Development with Grok, Qwen2.5, Deepseek & ChatGPT

下载连结：https://www.nidown.com/chatgpt-423183.html

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点击查看详情：https://www.kkmac.com/go/chatgpt

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英文原版介绍

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)