大语言模型零基础入门：从原理到AI应用开发全解析_CG群

零基础也能学的大语言模型通识课，用非数学方式讲透Token、Embedding、Transformer与注意力机制，并带你掌握API、提示词工程、RAG与AI智能体，从原理到实践构建现代AI应用。

原始标题：Large Language Models (LLMs) Explained: From Zero to AI Apps

Large Language Models (LLMs) Explained: From Zero to AI Apps

这门面向零基础学员的生成式 AI 与大语言模型通识课程，旨在通过通俗易懂的非数学方式，全面拆解以 ChatGPT 为代表的现代 AI 系统的底层运行逻辑与技术基石。课程首先从底层原理切入，详细剖析文本如何被转化为 Token 和数学向量（Embeddings），并深入探讨 Transformer 架构与注意力机制如何赋予大模型理解上下文并生成连贯文本的能力。

在此基础上，课程进一步连接理论与工程实践，重点讲授现代 AI 应用程序的开发、部署与架构设计。学员不仅能掌握大模型的预训练、微调与评估流程，还将深入学习如何利用 API、提示词工程（Prompting）、检索增强生成（RAG）以及 AI 智能体（Agents）等前沿技术，构建出具备查阅外部知识、调用工具并解决现实复杂问题的高级 AI 应用。

Master LLMs, Transformers, Tokens, Embeddings, RAG, and AI Application Development from the Fundamentals

What you’ll learn
⚡ Understand how Large Language Models (LLMs) work, from tokens and embeddings to Transformers and AI applications.
⚡ Explain how modern AI systems process language using tokenization, embeddings, neural networks, and attention mechanisms.
⚡ Understand how LLMs are trained, fine-tuned, evaluated, and deployed in real-world applications.
⚡ Build a strong foundation for creating AI applications using LLMs, RAG systems, APIs, and modern AI tools.
⚡ Understand practical concepts behind ChatGPT-style applications, including context windows, prompting, retrieval, and AI agents.
⚡ Develop the knowledge needed to move from AI beginner to confidently working with Large Language Models and AI engineering concepts.

Requirements
❗ No prior AI or machine learning experience is required. This course starts from the fundamentals and builds your understanding step by step.
❗ Basic computer skills and curiosity about Artificial Intelligence are enough to get started.
❗ A willingness to learn technical concepts through simple explanations and practical examples.
❗ Programming experience is helpful but not required, as the course focuses on understanding concepts before implementation.

Description
This course contains the use of artificial intelligence.
Have you ever wondered how ChatGPT and modern AI assistants actually work?

This course provides a complete beginner-friendly journey into the world of Large Language Models (LLMs) and Generative AI. You will learn the core concepts behind today’s most powerful AI systems and understand how they transform human language into intelligent responses.

Starting from the fundamentals, you will explore how Large Language Models process text using tokens, tokenization, embeddings, neural networks, Transformers, and attention mechanisms. You will understand how AI models learn patterns, generate responses, and represent meaning mathematically.

Throughout the course, you will discover the complete lifecycle of modern LLMs

• How text becomes tokens and token IDs
• How embeddings allow AI systems to understand relationships and meaning
• How neural networks and Transformers power modern language models
• How attention mechanisms help models focus on important information
• How LLMs are trained, evaluated, and improved
• How context windows, prompting, and token efficiency affect AI applications
• How Retrieval-Augmented Generation (RAG) connects LLMs with external knowledge
• How modern AI applications are built using LLM technologies

This course focuses on understanding the technology behind AI applications, not just using AI tools. You will build the mental model needed to confidently explore AI engineering, RAG systems, AI agents, and LLM-powered applications.

By the end of this course, you will have a strong foundation in Large Language Models and understand the concepts used behind ChatGPT-style applications.

Who is this course for?

• Beginners who want to understand how modern AI works
• Developers preparing to build AI-powered applications
• Software engineers exploring Generative AI and LLM technologies
• Students and professionals entering the AI field
• Anyone who wants to move beyond using AI tools and understand the technology behind them

No advanced mathematics or machine learning background is required. The course starts from the basics and gradually builds your understanding step by step.

Join the course and start your journey into the technology shaping the future of Artificial Intelligence.

Who this course is for
⭐ Beginners who want to understand how ChatGPT and modern Large Language Models work.
⭐ Developers who want a strong foundation before building AI-powered applications.
⭐ Software engineers, data professionals, and technology enthusiasts entering the AI field.
⭐ Students and professionals who want to understand Generative AI, LLMs, RAG, and AI application architecture.
⭐ Anyone who wants to move beyond using AI tools and understand the technology behind them.

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