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
Trust & integrity
| Signal | awesome-generative-ai-guide | LLMSurvey |
|---|---|---|
| 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 (aishwaryanr/awesome-generative-ai-guide) · observed Sep 20, 2026
- GitHub forks (aishwaryanr/awesome-generative-ai-guide) · observed Sep 20, 2026
- Last push (aishwaryanr/awesome-generative-ai-guide) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (RUCAIBox/LLMSurvey) · observed Sep 20, 2026
- GitHub forks (RUCAIBox/LLMSurvey) · observed Sep 20, 2026
- Last push (RUCAIBox/LLMSurvey) · observed Mar 11, 2025
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
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.