AI大模型系统实战

AILLM 

课程链接:https://b.geekbang.org/member/course/intro/100613101 学习使用的免费链接:https://freegeektime.com/ 介绍 本课程分为下面几个章节 (以下摘录于课程原文) 热身篇和架构基础篇。带你搭建知识体系,夯实基础,为后续学习

AI Agents in LangGraph


课程链接:https://learn.deeplearning.ai/courses/ai-agents-in-langgraph/lesson/1/introduction github:https://github.com/MSzgy/AI-Agents-in-LangGraph Introdu

LangChain Chat with Your Data


课程链接:https://learn.deeplearning.ai/courses/langchain-chat-with-your-data/lesson/1/introduction 代码:https://github.com/MSzgy/LangChain-Chat-with-Your-Da

Open Source Models with Hugging Face

AILLM 

课程链接:https://learn.deeplearning.ai/courses/open-source-models-hugging-face/lesson/1/introduction 代码:https://github.com/MSzgy/Open-Source-Models-with-H

Practical Multi AI Agents and Advanced Use Cases with crewAI


课程链接:https://learn.deeplearning.ai/courses/practical-multi-ai-agents-and-advanced-use-cases-with-crewai/lesson/1/introduction github:https://github.co

Retrieval Optimization: Tokenization to Vector Quantization


课程链接:https://learn.deeplearning.ai/courses/retrieval-optimization-from-tokenization-to-vector-quantization/lesson/1/introduction github: https://githu

AI大模型之美

AILLM 

课程链接:https://b.geekbang.org/member/course/intro/100541001 github: https://github.com/MSzgy/AI-model-Beauty (只有部分章节代码) 介绍 课程共分为 3 个模块(下面内容来自于课程的抄录)。共32

LangChain for LLM Application Development


课程链接:https://learn.deeplearning.ai/courses/langchain/lesson/1/introduction 代码: https://github.com/MSzgy/LangChain-for-LLM-Application-Development Intr

Building Agentic RAG with Llamaindex


课程链接:https://learn.deeplearning.ai/courses/building-agentic-rag-with-llamaindex/lesson/1/introduction 整理的代码: https://github.com/MSzgy/Building-Agentic

ChatGPT Prompt Engineering for Developers


https://learn.deeplearning.ai/courses/chatgpt-prompt-eng/lesson/1/introduction git https://github.com/MSzgy/ChatGPT-Prompt-Engineering-for-Developers/