Comparison
AI-Infra-from-Zero-to-Hero vs LLMSurvey
Verdict
Pick AI-Infra-from-Zero-to-Hero if a curated resource list for AI system design focusing on large language models and various system aspects; 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 chain-of-thought reasoning.
Markdown twin · AI-Infra-from-Zero-to-Hero alternatives · LLMSurvey alternatives
GraphCanon updated Sep 20, 2026
6views this month
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Trust & integrity
| Signal | AI-Infra-from-Zero-to-Hero | LLMSurvey |
|---|---|---|
| Maintenance | Dormant (388d since push) As of Aug 17, 2026 · github_public_v1 | Dormant (555d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 17, 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 Jul 11, 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
- AI-Infra-from-Zero-to-Hero
- Awesome System for Machine Learning and LLM Infra
- LLMSurvey
- A collection of papers and resources related to Large Language Models
Stars
- AI-Infra-from-Zero-to-Hero
- 4.3k
- LLMSurvey
- 12k
Forks
- AI-Infra-from-Zero-to-Hero
- 409
- LLMSurvey
- 930
Open issues
- AI-Infra-from-Zero-to-Hero
- 14
- LLMSurvey
- 30
Language
- AI-Infra-from-Zero-to-Hero
- -
- LLMSurvey
- Python
Adopt for
- AI-Infra-from-Zero-to-Hero
- A curated resource list for AI system design focusing on large language models and various system aspects.
- 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
- AI-Infra-from-Zero-to-Hero
- -
- LLMSurvey
- -
Runtime
- AI-Infra-from-Zero-to-Hero
- -
- LLMSurvey
- -
License
- AI-Infra-from-Zero-to-Hero
- MIT
- LLMSurvey
- The license information for LLMSurvey is unknown.
Last pushed
- AI-Infra-from-Zero-to-Hero
- Jul 25, 2025
- LLMSurvey
- Mar 11, 2025
Categories
- AI-Infra-from-Zero-to-Hero
- Developer Tools, Inference & Serving, LLM Frameworks, Model Training
- LLMSurvey
- LLM Frameworks, Model Training
Trust and health
Days since push
- AI-Infra-from-Zero-to-Hero
- 388d
- LLMSurvey
- 555d
Open issues (now)
- AI-Infra-from-Zero-to-Hero
- 14
- LLMSurvey
- 30
Stars delta
- AI-Infra-from-Zero-to-Hero
- +87 (30d)
- LLMSurvey
- +11 (30d)
Owner type
- AI-Infra-from-Zero-to-Hero
- User
- LLMSurvey
- Organization
Full report
- AI-Infra-from-Zero-to-Hero
- Trust report
- LLMSurvey
- Trust report
Choose AI-Infra-from-Zero-to-Hero if…
- Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, llmsys, mlsys.
- Also covers Developer Tools, Inference & Serving.
- When you are aiming to understand the foundational research papers, industry practices, video tutorials specific to ML systems and LLM infrastructures without requiring implementation details.
When NOT to use AI-Infra-from-Zero-to-Hero
- If you need step-by-step implementations for AI infrastructure setup as the repository focuses on resources rather than detailed technical instructions.
- Avoid if seeking guidance specifically for real-time system deployment and tuning, since it does not cover operational tactics in depth.
Choose LLMSurvey if…
- 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 (HuaizhengZhang/AI-Infra-from-Zero-to-Hero) · observed Sep 20, 2026
- GitHub forks (HuaizhengZhang/AI-Infra-from-Zero-to-Hero) · observed Sep 20, 2026
- Last push (HuaizhengZhang/AI-Infra-from-Zero-to-Hero) · observed Jul 25, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 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: AI-Infra-from-Zero-to-Hero 4.3k · LLMSurvey 12k (synced Sep 20, 2026).
Common questions
- What is the difference between AI-Infra-from-Zero-to-Hero and LLMSurvey?
- AI-Infra-from-Zero-to-Hero: Awesome System for Machine Learning and LLM Infra. 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 AI-Infra-from-Zero-to-Hero over LLMSurvey?
- Choose AI-Infra-from-Zero-to-Hero over LLMSurvey when Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, llmsys, mlsys; Also covers Developer Tools, Inference & Serving; When you are aiming to understand the foundational research papers, industry practices, video tutorials specific to ML systems and LLM infrastructures without requiring implementation details.
- When should I choose LLMSurvey over AI-Infra-from-Zero-to-Hero?
- Choose LLMSurvey over AI-Infra-from-Zero-to-Hero when 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 AI-Infra-from-Zero-to-Hero?
- If you need step-by-step implementations for AI infrastructure setup as the repository focuses on resources rather than detailed technical instructions. Avoid if seeking guidance specifically for real-time system deployment and tuning, since it does not cover operational tactics in depth.
- 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 AI-Infra-from-Zero-to-Hero or LLMSurvey more popular on GitHub?
- LLMSurvey has more GitHub stars (12,216 vs 4,285). Stars measure visibility, not whether either tool fits your constraints.
- Are AI-Infra-from-Zero-to-Hero and LLMSurvey open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to AI-Infra-from-Zero-to-Hero or LLMSurvey?
- GraphCanon lists graph-backed alternatives at AI-Infra-from-Zero-to-Hero alternatives and LLMSurvey alternatives (AI-Infra-from-Zero-to-Hero 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, AI-Infra-from-Zero-to-Hero or LLMSurvey?
- AI-Infra-from-Zero-to-Hero: Dormant. 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 AI-Infra-from-Zero-to-Hero and LLMSurvey?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AI-Infra-from-Zero-to-Hero trust report; LLMSurvey trust report.