liguodongiot/llm-action resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

24958 stars · 2846 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A curated Chinese-language knowledge base covering large language model engineering, including training, fine-tuning, inference, compression, evaluation, and deployment. It aggregates tutorials, code examples, and deep dives into LLM infrastructure and application practices.

Use cases

• learn how to fine-tune large language models with LoRA or QLoRA
• understand distributed training parallelism techniques for LLMs
• compare LLM inference frameworks and optimization methods
• learn LLM quantization, pruning, and knowledge distillation
• get started with RLHF and model alignment
• study LLM evaluation and inference performance benchmarking
• learn prompt engineering and LLM application development

When to choose

• you want a comprehensive, structured reference on LLM engineering from training to serving
• you prefer Chinese-language tutorials with hands-on code examples
• you need guidance on distributed training and AI infrastructure

When to avoid

• you need production-ready software rather than educational material
• you only want English-language documentation
• you seek a maintained library or tool to integrate into your codebase

Facets

learning-resource · maturity active

llm-training llm-inference rag prompt-engineering benchmarking large-language-models machine-learning deep-learning tutorials gpu-computing python cloud llmops fine-tuning lora rlhf quantization distributed-training inference-optimization model-compression chinese-language gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="liguodongiot/llm-action")