Building AI Browser Agents

Agent 

课程链接 github链接

LLMs as Operating Systems: Agent Memory


课程链接:https://learn.deeplearning.ai/courses/llms-as-operating-systems-agent-memory/lesson/nfkqk/introduction?courseName=llms-as-operating-systems-agent

Building toward Computer Use with Anthropic

Agent 

课程链接:https://learn.deeplearning.ai/courses/building-toward-computer-use-with-anthropic/lesson/a6k0z/introduction?courseName=building-toward-computer-u

Multi AI Agent Systems with crewAI

Agent 

课程链接:https://learn.deeplearning.ai/courses/multi-ai-agent-systems-with-crewai/lesson/wwou5/introduction?courseName=multi-ai-agent-systems-with-crewai

Evaluating AI Agents


课程链接:https://learn.deeplearning.ai/courses/evaluating-ai-agents/lesson/sqkza/introduction?courseName=evaluating-ai-agents github链接:https://github.com/

Functions, Tools and Agents with LangChain


课程链接:https://learn.deeplearning.ai/courses/functions-tools-agents-langchain/lesson/rtwb1/introduction github链接:https://github.com/MSzgy/Functions-Tool

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

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

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