Mosu

well come !

Building AI Browser Agents

Agent

课程链接 github链接

LLMs as Operating Systems: Agent Memory

LLM Agent

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

Reinforcement Learning From Human Feedback

LLM RL

课程链接：https://learn.deeplearning.ai/courses/reinforcement-learning-from-human-feedback/lesson/k1m9r/introduction?courseName=reinforcement-learning-from

How Transformer LLMs Work

LLM Model原理

课程链接：https://learn.deeplearning.ai/courses/how-transformer-llms-work/lesson/nfshb/introduction?courseName=how-transformer-llms-work github链接：https://g

常见LLM学习资料（持续更新）

其他学习资料链接

Prompt Engineering blog https://lilianweng.github.io/posts/2023-03-15-prompt-engineering/#chain-of-thought-cot Agent https://lilianweng.github.io/post

Evaluating AI Agents

Agent Evaluate

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

RAG Agent 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

Evaluating and Debugging Generative AI

LLM Evaluate

课程链接：https://learn.deeplearning.ai/courses/evaluating-debugging-generative-ai/lesson/t7eoa/introduction github链接：https://github.com/MSzgy/Evaluating-a