# ZJU-LLMs/Foundations-of-LLMs

A book for Learning the Foundations of LLMs

Repository: https://github.com/ZJU-LLMs/Foundations-of-LLMs
Canonical: https://ross.abutalabs.com/products/foundations-of-llms
Homepage: https://www.agent-kernel.tech/
License: NOASSERTION
License Family: other
Last push: 2025-12-12T01:55:18+00:00

## Health v2 (maintenance only)
Score: 49/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 56, release rhythm 35, longevity 56
- inputs: {"age_days": 794, "days_push": 265, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17636, forks 1659 (observed 2026-08-28T04:11:20.080555+00:00)

## What it is
An open-source Chinese-language textbook from Zhejiang University covering the foundations of large language models, including language model basics, LLM architecture evolution, prompt engineering, parameter-efficient fine-tuning, model editing, and retrieval-augmented generation. It is distributed as PDFs (full and per-chapter) with curated paper lists that are updated monthly.

## Use cases
- learn the fundamentals of large language models
- find a free LLM textbook with paper lists
- study prompt engineering and parameter-efficient fine-tuning
- understand retrieval-augmented generation concepts
- get chapter-by-chapter LLM course material
- track recent LLM research papers by topic

## When to choose
- you want a systematic, academically grounded introduction to LLMs
- you prefer reading Chinese-language educational material
- you need curated paper lists to follow cutting-edge LLM research
- you are a student or researcher building foundational LLM knowledge

## When to avoid
- you need runnable code or hands-on implementation exercises
- you only read English and cannot use Chinese-language material
- you need a production tool or library rather than a textbook

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, nlp, llm-training, rag, prompt-engineering
- domain: large-language-models, education, tutorials, artificial-intelligence
- platform: cross-platform
- tags: textbook, open-textbook, llm-foundations, chinese-language, paper-lists, monthly-updates, natural-language-processing

## Member repositories
- ZJU-LLMs/Foundations-of-LLMs (main) score 49

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:20.080555+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:02:33.208651+00:00, confidence not recorded.
  - readme: https://github.com/ZJU-LLMs/Foundations-of-LLMs (fetched 2026-08-28T04:11:20.080555+00:00, sha eaa5f272c9c2)
- Data as of 2026-08-30T08:39:29.467469+00:00.