phodal/aigc resource
《构筑大语言模型应用：应用开发与架构设计》一本关于 LLM 在真实世界应用的开源电子书，介绍了大语言模型的基础知识和应用，以及如何构建自己的模型。其中包括Prompt的编写、开发和管理，探索最好的大语言模型能带来什么，以及LLM应用开发的模式和架构设计。 observed · 2026-08-28
Health v2 · maintenance only
19/100
- Activity 0
- Release rhythm 8
- Longevity 83
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1168
- days_rel: n/a
- days_push: 953
- n_releases_24m: 0
Adoption not part of the score
1650 stars · 186 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
An open-source ebook (in Chinese) on building real-world applications with large language models, covering prompt writing and management, LLM application architecture patterns like Unit Mesh, and fine-tuning with LLMOps. It aggregates the author's articles and related open-source projects exploring LLM-driven software development workflows.
Use cases
- learn how to build applications with large language models
- learn prompt engineering patterns and best practices
- understand LLM application architecture design
- decide when to fine-tune an LLM for a specific domain
- learn how to integrate LLMs into software development workflows
- get started with LLMOps and LoRA fine-tuning
When to choose
- you want a free, structured introduction to LLM application development and architecture
- you prefer Chinese-language learning material on prompt engineering and LLMOps
- you want curated links to hands-on LLM open-source projects and tutorials
When to avoid
- you need an up-to-date reference, as the content was last updated in early 2024
- you need a runnable tool or library rather than a book
- you need English-language documentation
Facets
learning-resource · maturity maintenance
prompt-engineering llm-training documentation large-language-models tutorials developer-tools artificial-intelligence rust ebook llm-application-architecture prompt-engineering llmops fine-tuning unit-mesh chinese-language web-server
3 sources
- readme: https://github.com/phodal/aigc · fetched 2026-08-28 · edbc05251205
- homepage: https://aigc.phodal.com/ · fetched 2026-08-29 · a0a9c9e3d489
- site_page: https://aigc.phodal.com/misc/faq.html · fetched 2026-08-29 · 545f2ad91810
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| phodal/aigc | main | 19 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem