--- title: "AlignLLMHumanSurvey vs LLM-Engineers-Handbook" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/garyyufei-alignllmhumansurvey-vs-packtpublishing-llm-engineers-handbook" tools: ["garyyufei-alignllmhumansurvey", "packtpublishing-llm-engineers-handbook"] --- # AlignLLMHumanSurvey vs LLM-Engineers-Handbook *GraphCanon updated Jul 12, 2026* ## Verdict Pick AlignLLMHumanSurvey if alignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价; pick LLM-Engineers-Handbook if a comprehensive guide for deploying advanced LLM and RAG apps on AWS using LLMOps best practices. [AlignLLMHumanSurvey](https://arxiv.org/abs/2307.12966) reports 742 GitHub stars, 30 forks, and 0 open issues, last pushed Sep 11, 2023. [LLM-Engineers-Handbook](https://www.amazon.com/LLM-Engineers-Handbook-engineering-production/dp/1836200072/) has 5.2k stars, 1.2k forks, and 34 open issues, last pushed Apr 22, 2026. Figures are from public GitHub metadata via [AlignLLMHumanSurvey's repository](https://github.com/GaryYufei/AlignLLMHumanSurvey) and [LLM-Engineers-Handbook's repository](https://github.com/PacktPublishing/LLM-Engineers-Handbook). | | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [LLM-Engineers-Handbook](/tools/packtpublishing-llm-engineers-handbook.md) | | --- | --- | --- | | Tagline | A survey on aligning large language models with human expectations | LLM's practical guide: From fundamentals to deploying advanced LLM and RAG apps | | Stars | 742 | 5,214 | | Forks | 30 | 1,248 | | Open issues | 0 | 34 | | Language | - | Python | | Adopt for | AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价 | A comprehensive guide for deploying advanced LLM and RAG apps on AWS using LLMOps best practices. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Evaluation & Observability, Model Training | Developer Tools, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [LLM-Engineers-Handbook](/tools/packtpublishing-llm-engineers-handbook.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 1034d | 80d | | Open issues (now) | 0 | 34 | | Owner type | User | Organization | | Full report | [trust report](/tools/garyyufei-alignllmhumansurvey/trust.md) | [trust report](/tools/packtpublishing-llm-engineers-handbook/trust.md) | ## Decision facts: AlignLLMHumanSurvey - **Adopt for:** AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价 ## Decision facts: LLM-Engineers-Handbook - **Pricing:** freemium - The repository itself is free under the MIT license; however, AWS services (like SageMaker and ECR) require paid usage based on your consumption. - **Requirements:** Min 8 GB RAM; Requires Docker; - Requires Docker for managing local infrastructure.; - Python version 3.11 is required; Poetry should already be installed to manage dependencies. - **Adopt for:** A comprehensive guide for deploying advanced LLM and RAG apps on AWS using LLMOps best practices. ## Choose when ### Choose AlignLLMHumanSurvey if… - Tags unique to AlignLLMHumanSurvey: awesome, chatgpt, chinese-llama, gpt-4. - 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。 - Leaner open-issue backlog (0). ### Choose LLM-Engineers-Handbook if… - Pricing: The repository itself is free under the MIT license; however, AWS services (like SageMaker and ECR) require paid usage based on your consumption.. - Requirements: Min 8 GB RAM; Requires Docker; - Requires Docker for managing local infrastructure.; - Python version 3.11 is required; Poetry should already be installed to manage dependencies.. - Tags unique to LLM-Engineers-Handbook: aws, fine-tuning-llm, genai, llm-evaluation. - Also covers Developer Tools, Inference & Serving, LLM Frameworks. - LLM-Engineers-Handbook ships Docker support for self-hosted deployment. - - You are an engineer looking to deploy large language models (LLMs) or retrieval-augmented generation (RAG) applications specifically in an AWS environment. ## When NOT to use AlignLLMHumanSurvey - 当您需要具体的技术实现代码或工具箱时，请勿使用AlignLLMHumanSurvey，因为它仅仅是一个汇总知识的调研文档，不提供具体的编程实现细节。 - 如果您正在寻找特定模型的性能评估数据或者准备在实际项目中直接应用某种对齐技术，则这个资源可能不会满足您的需求，因为它更侧重于理论和调查研究。 ## When NOT to use LLM-Engineers-Handbook - - If your project is not hosted on AWS, as this tool heavily integrates with AWS services like SageMaker, ECR, and S3, making it less suitable for non-AWS cloud providers. - - You do not want to manage dependencies via Poetry. The guide assumes you are comfortable working within a Poetry-managed environment. ## Common questions ### What is the difference between AlignLLMHumanSurvey and LLM-Engineers-Handbook? AlignLLMHumanSurvey: A survey on aligning large language models with human expectations. LLM-Engineers-Handbook: LLM's practical guide: From fundamentals to deploying advanced LLM and RAG apps. See the comparison table for live GitHub stats and shared categories. ### When should I choose AlignLLMHumanSurvey over LLM-Engineers-Handbook? Choose AlignLLMHumanSurvey over LLM-Engineers-Handbook when Tags unique to AlignLLMHumanSurvey: awesome, chatgpt, chinese-llama, gpt-4; 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。; Leaner open-issue backlog (0). ### When should I choose LLM-Engineers-Handbook over AlignLLMHumanSurvey? Choose LLM-Engineers-Handbook over AlignLLMHumanSurvey when Pricing: The repository itself is free under the MIT license; however, AWS services (like SageMaker and ECR) require paid usage based on your consumption.; Requirements: Min 8 GB RAM; Requires Docker; - Requires Docker for managing local infrastructure.; - Python version 3.11 is required; Poetry should already be installed to manage dependencies.; Tags unique to LLM-Engineers-Handbook: aws, fine-tuning-llm, genai, llm-evaluation; Also covers Developer Tools, Inference & Serving, LLM Frameworks; LLM-Engineers-Handbook ships Docker support for self-hosted deployment; - You are an engineer looking to deploy large language models (LLMs) or retrieval-augmented generation (RAG) applications specifically in an AWS environment. ### When should I avoid AlignLLMHumanSurvey? 当您需要具体的技术实现代码或工具箱时，请勿使用AlignLLMHumanSurvey，因为它仅仅是一个汇总知识的调研文档，不提供具体的编程实现细节。 如果您正在寻找特定模型的性能评估数据或者准备在实际项目中直接应用某种对齐技术，则这个资源可能不会满足您的需求，因为它更侧重于理论和调查研究。 ### When should I avoid LLM-Engineers-Handbook? - If your project is not hosted on AWS, as this tool heavily integrates with AWS services like SageMaker, ECR, and S3, making it less suitable for non-AWS cloud providers. - You do not want to manage dependencies via Poetry. The guide assumes you are comfortable working within a Poetry-managed environment. ### Is AlignLLMHumanSurvey or LLM-Engineers-Handbook more popular on GitHub? LLM-Engineers-Handbook has more GitHub stars (5,214 vs 742). Stars measure visibility, not whether either tool fits your constraints. ### Are AlignLLMHumanSurvey and LLM-Engineers-Handbook open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to AlignLLMHumanSurvey or LLM-Engineers-Handbook? GraphCanon lists graph-backed alternatives at [AlignLLMHumanSurvey alternatives](/tools/garyyufei-alignllmhumansurvey/alternatives) and [LLM-Engineers-Handbook alternatives](/tools/packtpublishing-llm-engineers-handbook/alternatives) ([AlignLLMHumanSurvey markdown twin](/tools/garyyufei-alignllmhumansurvey/alternatives.md), [LLM-Engineers-Handbook markdown twin](/tools/packtpublishing-llm-engineers-handbook/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/garyyufei-alignllmhumansurvey-vs-packtpublishing-llm-engineers-handbook.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AlignLLMHumanSurvey or LLM-Engineers-Handbook? AlignLLMHumanSurvey: Dormant. LLM-Engineers-Handbook: Steady. 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 AlignLLMHumanSurvey and LLM-Engineers-Handbook? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AlignLLMHumanSurvey trust report](/tools/garyyufei-alignllmhumansurvey/trust); [LLM-Engineers-Handbook trust report](/tools/packtpublishing-llm-engineers-handbook/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey`](/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey) - 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/_