--- title: "AlignLLMHumanSurvey vs Large-Language-Model-Notebooks-Course" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/garyyufei-alignllmhumansurvey-vs-peremartra-large-language-model-notebooks-course" tools: ["garyyufei-alignllmhumansurvey", "peremartra-large-language-model-notebooks-course"] --- # AlignLLMHumanSurvey vs Large-Language-Model-Notebooks-Course *GraphCanon updated Aug 15, 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 Large-Language-Model-Notebooks-Course if a developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face. [AlignLLMHumanSurvey](https://arxiv.org/abs/2307.12966) reports 742 GitHub stars, 30 forks, and 0 open issues, last pushed Sep 11, 2023. [Large-Language-Model-Notebooks-Course](https://medium.com/@peremartra/list/large-language-models-practical-course-66b4ce5943ce) has 1.8k stars, 447 forks, and 0 open issues, last pushed May 28, 2026. Figures are from public GitHub metadata via [AlignLLMHumanSurvey's repository](https://github.com/GaryYufei/AlignLLMHumanSurvey) and [Large-Language-Model-Notebooks-Course's repository](https://github.com/peremartra/Large-Language-Model-Notebooks-Course). | | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [Large-Language-Model-Notebooks-Course](/tools/peremartra-large-language-model-notebooks-course.md) | | --- | --- | --- | | Tagline | A survey on aligning large language models with human expectations | Practical course about Large Language Models | | Stars | 742 | 1,821 | | Forks | 30 | 447 | | Open issues | 0 | 0 | | Language | - | Jupyter Notebook | | 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 developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | Evaluation & Observability, Model Training | 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) | [Large-Language-Model-Notebooks-Course](/tools/peremartra-large-language-model-notebooks-course.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 1060d | 79d | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/garyyufei-alignllmhumansurvey/trust.md) | [trust report](/tools/peremartra-large-language-model-notebooks-course/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: Large-Language-Model-Notebooks-Course - **Adopt for:** A developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face. ## 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。 ### Choose Large-Language-Model-Notebooks-Course if… - Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain. - Also covers Inference & Serving, LLM Frameworks. - You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries. ## When NOT to use AlignLLMHumanSurvey - ，AlignLLMHumanSurvey，，。 ## When NOT to use Large-Language-Model-Notebooks-Course - Seeking a complete, finalized course where all content is available for immediate use without future updates. - Looking exclusively for theory; the course emphasizes practical application over theoretical depth. ## Common questions ### What is the difference between AlignLLMHumanSurvey and Large-Language-Model-Notebooks-Course? AlignLLMHumanSurvey: A survey on aligning large language models with human expectations. Large-Language-Model-Notebooks-Course: Practical course about Large Language Models. See the comparison table for live GitHub stats and shared categories. ### When should I choose AlignLLMHumanSurvey over Large-Language-Model-Notebooks-Course? Choose AlignLLMHumanSurvey over Large-Language-Model-Notebooks-Course 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。. ### When should I choose Large-Language-Model-Notebooks-Course over AlignLLMHumanSurvey? Choose Large-Language-Model-Notebooks-Course over AlignLLMHumanSurvey when Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain; Also covers Inference & Serving, LLM Frameworks; You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries. ### When should I avoid AlignLLMHumanSurvey? ，AlignLLMHumanSurvey，，。 ### When should I avoid Large-Language-Model-Notebooks-Course? Seeking a complete, finalized course where all content is available for immediate use without future updates. Looking exclusively for theory; the course emphasizes practical application over theoretical depth. ### Is AlignLLMHumanSurvey or Large-Language-Model-Notebooks-Course more popular on GitHub? Large-Language-Model-Notebooks-Course has more GitHub stars (1,821 vs 742). Stars measure visibility, not whether either tool fits your constraints. ### Are AlignLLMHumanSurvey and Large-Language-Model-Notebooks-Course open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to AlignLLMHumanSurvey or Large-Language-Model-Notebooks-Course? GraphCanon lists graph-backed alternatives at [AlignLLMHumanSurvey alternatives](/tools/garyyufei-alignllmhumansurvey/alternatives) and [Large-Language-Model-Notebooks-Course alternatives](/tools/peremartra-large-language-model-notebooks-course/alternatives) ([AlignLLMHumanSurvey markdown twin](/tools/garyyufei-alignllmhumansurvey/alternatives.md), [Large-Language-Model-Notebooks-Course markdown twin](/tools/peremartra-large-language-model-notebooks-course/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-peremartra-large-language-model-notebooks-course.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AlignLLMHumanSurvey or Large-Language-Model-Notebooks-Course? AlignLLMHumanSurvey: Dormant. Large-Language-Model-Notebooks-Course: 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 Large-Language-Model-Notebooks-Course? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AlignLLMHumanSurvey trust report](/tools/garyyufei-alignllmhumansurvey/trust); [Large-Language-Model-Notebooks-Course trust report](/tools/peremartra-large-language-model-notebooks-course/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/_