分类：LLM

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

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

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

Intro to Federated Learning

LLM

课程链接：https://learn.deeplearning.ai/courses/intro-to-federated-learning/lesson/uhuz2/introduction github链接：https://github.com/MSzgy/Intro-to-Federated-

Federated Fine-tuning of LLMs with Private Data

LLM finetuning LMM安全

课程链接：https://learn.deeplearning.ai/courses/intro-to-federated-learning-c2/ github链接：https://github.com/MSzgy/Federated-Fine-tuning-of-LLMs-with-Privat

Building Generative AI Applications with Gradio

AI LLM

课程链接：https://learn.deeplearning.ai/courses/huggingface-gradio/lesson/1/introduction github链接：https://github.com/MSzgy/Building-Generative-AI-Applicati

Knowledge Graphs for RAG

LLM RAG KG

课程连接：https://learn.deeplearning.ai/courses/knowledge-graphs-rag github连接：https://github.com/MSzgy/Knowledge-Graphs-for-RAG Introduction 在本章课程中，以SEC（美国

Building Systems with the ChatGPT API

LLM OpenAI

课程链接：https://learn.deeplearning.ai/courses/chatgpt-building-system/lesson/1/introduction github: https://github.com/MSzgy/Building-Systems-with-the-Ch

Collaborative Writing and Coding with OpenAI Canvas

LLM OpenAI

课程链接：https://learn.deeplearning.ai/courses/collaborative-writing-and-coding-with-openai-canvas/lesson/1/introduction Introduction OpenAI Canvas 是一个支持创