Home/Compare/awesome-generative-ai-guide vs LLMSurvey

Comparison

awesome-generative-ai-guide vs LLMSurvey

Verdict

Pick awesome-generative-ai-guide if awesome-generative-ai-guide is a curated repository for generative AI resources, including research updates, interview questions, and Jupyter notebooks, aimed at researchers and developers in the field of generative AI; pick LLMSurvey if 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.

Markdown twin · awesome-generative-ai-guide alternatives · LLMSurvey alternatives

GraphCanon updated Sep 20, 2026

10views this month

awesome-generative-ai-guide logo

awesome-generative-ai-guide

aishwaryanr/awesome-generative-ai-guide

★ 29kpushed Sep 17, 2026
vs
LLMSurvey logo

LLMSurvey

RUCAIBox/LLMSurvey

★ 12kpushed Mar 11, 2025

Trust & integrity

Signalawesome-generative-ai-guideLLMSurvey
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Dormant (555d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Sep 18, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
LLMSurvey
A collection of papers and resources related to Large Language Models

Stars

awesome-generative-ai-guide
29k
LLMSurvey
12k

Forks

awesome-generative-ai-guide
6.0k
LLMSurvey
930

Open issues

awesome-generative-ai-guide
4
LLMSurvey
30

Language

awesome-generative-ai-guide
HTML
LLMSurvey
Python

Adopt for

awesome-generative-ai-guide
awesome-generative-ai-guide is a curated repository for generative AI resources, including research updates, interview questions, and Jupyter notebooks, aimed at researchers and developers in the field of generative AI.
LLMSurvey
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.

Persona

awesome-generative-ai-guide
-
LLMSurvey
-

Runtime

awesome-generative-ai-guide
-
LLMSurvey
-

License

awesome-generative-ai-guide
MIT
LLMSurvey
The license information for LLMSurvey is unknown.

Last pushed

awesome-generative-ai-guide
Sep 17, 2026
LLMSurvey
Mar 11, 2025

Categories

awesome-generative-ai-guide
Computer Vision, Developer Tools, LLM Frameworks, Model Training
LLMSurvey
LLM Frameworks, Model Training

Trust and health

Maintenance

awesome-generative-ai-guide
Very active (96%)
LLMSurvey
Dormant (18%)

Days since push

awesome-generative-ai-guide
0d
LLMSurvey
555d

Open issues (now)

awesome-generative-ai-guide
4
LLMSurvey
30

Stars delta

awesome-generative-ai-guide
+692 (30d)
LLMSurvey
+11 (30d)

Open issues delta

awesome-generative-ai-guide
-1 (30d)
LLMSurvey
0 (30d)

Owner type

awesome-generative-ai-guide
User
LLMSurvey
Organization

Full report

awesome-generative-ai-guide
Trust report
LLMSurvey
Trust report

Choose awesome-generative-ai-guide if…

  • awesome-generative-ai-guide is primarily HTML; LLMSurvey is Python.
  • Tags unique to awesome-generative-ai-guide: awesome, awesome-list, generative-ai, interview-questions.
  • Also covers Computer Vision, Developer Tools.
  • Use awesome-generative-ai-guide when you need a comprehensive collection of resources for generative AI research, including updates and interview preparation materials.

When NOT to use awesome-generative-ai-guide

  • Do not use awesome-generative-ai-guide if you are seeking a platform for real-time collaboration on AI projects, as it primarily serves as a repository of static resources.
  • Avoid using this tool if you require a more specialized focus on a particular aspect of AI, such as reinforcement learning or natural language processing, as it is a broad overview and may not cover a

Choose LLMSurvey if…

  • LLMSurvey is primarily Python; awesome-generative-ai-guide is HTML.
  • Pricing: 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..
  • Tags unique to LLMSurvey: chain-of-thought, chatgpt, in-context-learning, instruction-tuning.
  • 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.

When NOT to use LLMSurvey

  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: awesome-generative-ai-guide 29k · LLMSurvey 12k (synced Sep 20, 2026).

Common questions

What is the difference between awesome-generative-ai-guide and LLMSurvey?
awesome-generative-ai-guide: A one stop repository for generative AI research updates, interview resources, notebooks and much more!. LLMSurvey: A collection of papers and resources related to Large Language Models. See the comparison table for live GitHub stats and shared categories.
When should I choose awesome-generative-ai-guide over LLMSurvey?
Choose awesome-generative-ai-guide over LLMSurvey when awesome-generative-ai-guide is primarily HTML; LLMSurvey is Python; Tags unique to awesome-generative-ai-guide: awesome, awesome-list, generative-ai, interview-questions; Also covers Computer Vision, Developer Tools; Use awesome-generative-ai-guide when you need a comprehensive collection of resources for generative AI research, including updates and interview preparation materials.
When should I choose LLMSurvey over awesome-generative-ai-guide?
Choose LLMSurvey over awesome-generative-ai-guide when LLMSurvey is primarily Python; awesome-generative-ai-guide is HTML; Pricing: 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.; Tags unique to LLMSurvey: chain-of-thought, chatgpt, in-context-learning, instruction-tuning; 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.
When should I avoid awesome-generative-ai-guide?
Do not use awesome-generative-ai-guide if you are seeking a platform for real-time collaboration on AI projects, as it primarily serves as a repository of static resources. Avoid using this tool if you require a more specialized focus on a particular aspect of AI, such as reinforcement learning or natural language processing, as it is a broad overview and may not cover a
When should I avoid LLMSurvey?
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.
Is awesome-generative-ai-guide or LLMSurvey more popular on GitHub?
awesome-generative-ai-guide has more GitHub stars (29,463 vs 12,216). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-generative-ai-guide and LLMSurvey open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to awesome-generative-ai-guide or LLMSurvey?
GraphCanon lists graph-backed alternatives at awesome-generative-ai-guide alternatives and LLMSurvey alternatives (awesome-generative-ai-guide markdown twin, LLMSurvey markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, awesome-generative-ai-guide or LLMSurvey?
awesome-generative-ai-guide: Very active. LLMSurvey: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for awesome-generative-ai-guide and LLMSurvey?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-generative-ai-guide trust report; LLMSurvey trust report.

Was this helpful?

Anonymous feedback helps us improve pages and translations.