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LLMSurvey

RUCAIBox/LLMSurvey

A collection of papers and resources related to Large Language Models

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

87views this month

12k stars930 forksLast push Mar 11, 2025 Python

Decision brief

LLMSurvey is a repository that provides a comprehensive survey paper and resources on Large Language Models, including a beginner-friendly Chinese book and detailed content on long chain-of-thought reasoning.

Good fit when

Use LLMSurvey when you need a detailed survey paper and resources on Large Language Models, especially if you are interested in long chain-of-thought reasoning.
Consider LLMSurvey if you are a beginner in the field of LLMs and prefer a Chinese language resource that provides a comprehensive framework and roadmap for LLMs.

Avoid when

Avoid LLMSurvey if you are looking for a tool that provides hands-on training or implementation of LLMs, as it focuses more on theoretical resources and surveys.
Do not use LLMSurvey if you require real-time updates or interactive tools for LLM development, as it primarily offers static content and resources.

Pricing:: freemium - The repository is free to access, but the Chinese book is available for purchase.
Requirements:: Min 4 GB RAM; A basic understanding of deep learning is recommended for the Chinese book.

Observed Sep 18, 2026 · Source: enrich:decision_facts

LLMSurvey alternatives Trust report

LLMSurvey vs LLM-Agent-Paper-List

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (555d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): No lockfile; As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install LLMSurvey

PyPI

How it fits your stack(12)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Successor

LLM-Agent-Paper-List

This repository could be considered an updated and more comprehensive version of a survey like LLMSurvey, specifically focusing on agent-based research.

predecessor

prompts.chat

LLMSurvey surveys papers related to large language models including prompt engineering aspects, while prompts.chat is a library of such prompts.

transformers

🤗 Transformers: state-of-the-art machine learning models for text, vision, audio, and multimodal models

JavaGuide

Both provide educational content about AI and technology but in different areas; LLMSurvey focuses on LLMs while JavaGuide covers a wide range of computer science topics.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

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ai-engineering-hub

Tutorials on LLMs, RAGs, and real-world AI agent applications

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awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Provides a survey paper and resources on Large Language Models, including a Chinese book for beginners and detailed content on long chain-of-thought reasoning.

Capability facts

Languages: python
Source: github.language · Sep 18, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Works with ChatGPTChatGPT

Source: README excerpt (regex_v1, Sep 18, 2026)

in the research progress of LLMs. A sharp increase occurs after the release of ChatGPT: the average number of published arXiv papers that contain “large language mode

Source link

README

LLMSurvey A collection of papers and resources related to Large Language Models. The organization of papers refers to our survey "A Survey of Large Language Models" . Please let us know if you find out a mistake or have any suggestions by e mail: batmanfly@gmail.com (we suggest c...

For agents

This page has a .md twin and JSON over the API.

/tools/rucaibox-llmsurvey.md GET /api/graphcanon/tools/rucaibox-llmsurvey GET /api/graphcanon/graph?tool=rucaibox-llmsurvey