--- title: "LLMSys-PaperList vs AI-Infra-from-Zero-to-Hero" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/amberljc-llmsys-paperlist-vs-huaizhengzhang-ai-infra-from-zero-to-hero" tools: ["amberljc-llmsys-paperlist", "huaizhengzhang-ai-infra-from-zero-to-hero"] --- # LLMSys-PaperList vs AI-Infra-from-Zero-to-Hero *GraphCanon updated Aug 17, 2026* ## Verdict Pick LLMSys-PaperList if lLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems; 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. [LLMSys-PaperList](https://github.com/AmberLJC/LLMSys-PaperList) reports 2.2k GitHub stars, 120 forks, and 1 open issues, last pushed Jul 25, 2026. [AI-Infra-from-Zero-to-Hero](https://huaizheng.xyz/) has 4.3k stars, 409 forks, and 14 open issues, last pushed Jul 25, 2025. Figures are from public GitHub metadata via [LLMSys-PaperList's repository](https://github.com/AmberLJC/LLMSys-PaperList) and [AI-Infra-from-Zero-to-Hero's repository](https://github.com/HuaizhengZhang/AI-Infra-from-Zero-to-Hero). | | [LLMSys-PaperList](/tools/amberljc-llmsys-paperlist.md) | [AI-Infra-from-Zero-to-Hero](/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md) | | --- | --- | --- | | Tagline | Curated list of academic papers related to Large Language Model systems | Awesome System for Machine Learning and LLM Infra | | Stars | 2,220 | 4,285 | | Forks | 120 | 409 | | Open issues | 1 | 14 | | Language | Python | - | | Adopt for | LLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems. | A curated resource list for AI system design focusing on large language models and various system aspects. | | Persona | - | - | | Runtime | - | - | | License | (unknown) | MIT | | Categories | Inference & Serving, LLM Frameworks, Model Training | Developer Tools, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLMSys-PaperList](/tools/amberljc-llmsys-paperlist.md) | [AI-Infra-from-Zero-to-Hero](/tools/huaizhengzhang-ai-infra-from-zero-to-hero.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 12d | 388d | | Open issues (now) | 1 | 14 | | Stars delta | Unknown | +87 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/amberljc-llmsys-paperlist/trust.md) | [trust report](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/trust.md) | ## Decision facts: LLMSys-PaperList - **Hosting:** unknown - (repository does not specify hosting environment) - **Adopt for:** LLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems. - **License detail:** (unknown) ## Decision facts: AI-Infra-from-Zero-to-Hero - **Adopt for:** A curated resource list for AI system design focusing on large language models and various system aspects. ## Choose when ### Choose LLMSys-PaperList if… - (repository does not specify hosting environment) - Tags unique to LLMSys-PaperList: academic-sources, framework-overview, inference-techniques, research papers. - - When you need a curated list focusing on technical advancements in pre-training, post-training, serving, and multi-modal LLM systems. ### Choose AI-Infra-from-Zero-to-Hero if… - Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, large language models, llmsys. - Also covers Developer Tools. - 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 LLMSys-PaperList - - If you are looking for a general repository of machine learning papers rather than specific developments related to Large Language Models. - - When your primary need is documentation or code examples rather than academic papers and project insights. - - For applications where real-time updates and active community support are imperative, as LLMSys-PaperList primarily serves as a static list without user interaction features like commenting or liveＱ ## 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. ## Common questions ### What is the difference between LLMSys-PaperList and AI-Infra-from-Zero-to-Hero? LLMSys-PaperList: Curated list of academic papers related to Large Language Model systems. AI-Infra-from-Zero-to-Hero: Awesome System for Machine Learning and LLM Infra. See the comparison table for live GitHub stats and shared categories. ### When should I choose LLMSys-PaperList over AI-Infra-from-Zero-to-Hero? Choose LLMSys-PaperList over AI-Infra-from-Zero-to-Hero when (repository does not specify hosting environment); Tags unique to LLMSys-PaperList: academic-sources, framework-overview, inference-techniques, research papers; - When you need a curated list focusing on technical advancements in pre-training, post-training, serving, and multi-modal LLM systems. ### When should I choose AI-Infra-from-Zero-to-Hero over LLMSys-PaperList? Choose AI-Infra-from-Zero-to-Hero over LLMSys-PaperList when Tags unique to AI-Infra-from-Zero-to-Hero: ai-infra, genai, large language models, llmsys; Also covers Developer Tools; 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 avoid LLMSys-PaperList? - If you are looking for a general repository of machine learning papers rather than specific developments related to Large Language Models. - When your primary need is documentation or code examples rather than academic papers and project insights. - For applications where real-time updates and active community support are imperative, as LLMSys-PaperList primarily serves as a static list without user interaction features like commenting or liveＱ ### 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. ### Is LLMSys-PaperList or AI-Infra-from-Zero-to-Hero more popular on GitHub? AI-Infra-from-Zero-to-Hero has more GitHub stars (4,285 vs 2,220). Stars measure visibility, not whether either tool fits your constraints. ### Are LLMSys-PaperList and AI-Infra-from-Zero-to-Hero open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to LLMSys-PaperList or AI-Infra-from-Zero-to-Hero? GraphCanon lists graph-backed alternatives at [LLMSys-PaperList alternatives](/tools/amberljc-llmsys-paperlist/alternatives) and [AI-Infra-from-Zero-to-Hero alternatives](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/alternatives) ([LLMSys-PaperList markdown twin](/tools/amberljc-llmsys-paperlist/alternatives.md), [AI-Infra-from-Zero-to-Hero markdown twin](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/alternatives.md)), 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](/compare/amberljc-llmsys-paperlist-vs-huaizhengzhang-ai-infra-from-zero-to-hero.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LLMSys-PaperList or AI-Infra-from-Zero-to-Hero? LLMSys-PaperList: Active. AI-Infra-from-Zero-to-Hero: 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 LLMSys-PaperList and AI-Infra-from-Zero-to-Hero? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLMSys-PaperList trust report](/tools/amberljc-llmsys-paperlist/trust); [AI-Infra-from-Zero-to-Hero trust report](/tools/huaizhengzhang-ai-infra-from-zero-to-hero/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=amberljc-llmsys-paperlist`](/api/graphcanon/graph?tool=amberljc-llmsys-paperlist) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_