LLM Learning & Practice

Welcome to my LLM (Large Language Model) documentation section. Here, I share my learning experiences, practical implementations, and insights about LLM technologies.

Topics

• LLM Infrastructure
• Prompt Engineering
• Vector Database
• RAG (Retrieval Augmented Generation)
• Fine-tuning
• Model Deployment
• LangChain & LlamaIndex
• Best Practices
• Data
• Training

Sources

GPU硬件与软件知识· GPU硬件的架构与特性分析以及GPU基本操作讲解

https://www.zhihu.com/column/c_1552001218175766528

学习计划

• 趋动科技

• 第四范式

• volcano

• Queue

• PodGroup

• volcanoJob

• Kubeflow

• 分布式训练 从 PyTorch DDP 到 Accelerate 到 Trainer，轻松掌握分布式训练 - Hugging Face - 101.dev 社区

MLops

• https://dvc.org/doc/start DVC is a tool for data science that takes advantage of existing software engineering toolset. It helps machine learning teams manage large datasets, make projects reproducible, and collaborate better.

Prompt engineer

• https://python.langchain.com/docs/use_cases/chatbots/
• https://poe.com/
• https://www.phind.com/
• https://www.learnprompt.pro/
• https://github.com/microsoft/promptbench
• https://promptperfect.jina.ai/
• https://www.learnprompt.org/chat-gpt-prompts-for-education/
• https://openai-sb.com/

https://console.weaviate.cloud/dashboard

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