--- title: "Reading_groups vs Large-Language-Model-Notebooks-Course" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/crazyofapple-reading-groups-vs-peremartra-large-language-model-notebooks-course" tools: ["crazyofapple-reading-groups", "peremartra-large-language-model-notebooks-course"] --- # Reading_groups vs Large-Language-Model-Notebooks-Course *GraphCanon updated Aug 15, 2026* ## Verdict Pick Reading_groups if 用于跟踪、整理和学习大规模语言模型相关的文章、课程材料和实验演示，适用于希望了解最新技术进展、优化策略、应用案例以及深度分析的研究者。; 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. [Reading_groups](https://github.com/crazyofapple/Reading_groups) reports 202 GitHub stars, 7 forks, and 0 open issues, last pushed Aug 8, 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 [Reading_groups's repository](https://github.com/crazyofapple/Reading_groups) and [Large-Language-Model-Notebooks-Course's repository](https://github.com/peremartra/Large-Language-Model-Notebooks-Course). | | [Reading_groups](/tools/crazyofapple-reading-groups.md) | [Large-Language-Model-Notebooks-Course](/tools/peremartra-large-language-model-notebooks-course.md) | | --- | --- | --- | | Tagline | 资源整理和追踪大规模预训练语言模型相关文章 | Practical course about Large Language Models | | Stars | 202 | 1,821 | | Forks | 7 | 447 | | Open issues | 0 | 0 | | Language | - | Jupyter Notebook | | Adopt for | 用于跟踪、整理和学习大规模语言模型相关的文章、课程材料和实验演示，适用于希望了解最新技术进展、优化策略、应用案例以及深度分析的研究者。 | 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 | Developer Tools, Evaluation & Observability, LLM Frameworks, Model Training | Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Reading_groups](/tools/crazyofapple-reading-groups.md) | [Large-Language-Model-Notebooks-Course](/tools/peremartra-large-language-model-notebooks-course.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 1094d | 79d | | Stars delta | Unknown | +3 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/crazyofapple-reading-groups/trust.md) | [trust report](/tools/peremartra-large-language-model-notebooks-course/trust.md) | ## Decision facts: Reading_groups - **Adopt for:** 用于跟踪、整理和学习大规模语言模型相关的文章、课程材料和实验演示，适用于希望了解最新技术进展、优化策略、应用案例以及深度分析的研究者。 ## 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 Reading_groups if… - Tags unique to Reading_groups: chatgpt, gpt-3, gpt-4, llm. - Also covers Developer Tools. - 您想深入理解特定的大规模预训练语言模型（如GPT-4）、其性能测试及其局限性时 ### 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. - You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries. ## When NOT to use Reading_groups - 。Reading_groups， - NLP， ## 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 Reading_groups and Large-Language-Model-Notebooks-Course? Reading_groups: 资源整理和追踪大规模预训练语言模型相关文章. 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 Reading_groups over Large-Language-Model-Notebooks-Course? Choose Reading_groups over Large-Language-Model-Notebooks-Course when Tags unique to Reading_groups: chatgpt, gpt-3, gpt-4, llm; Also covers Developer Tools; 您想深入理解特定的大规模预训练语言模型（如GPT-4）、其性能测试及其局限性时. ### When should I choose Large-Language-Model-Notebooks-Course over Reading_groups? Choose Large-Language-Model-Notebooks-Course over Reading_groups when Tags unique to Large-Language-Model-Notebooks-Course: chatbots, fine-tuning-llm, huggingface, langchain; Also covers Inference & Serving; You're seeking an evolving curriculum with projects that apply Large Language Model techniques from various libraries. ### When should I avoid Reading_groups? 。Reading_groups， NLP， ### 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 Reading_groups or Large-Language-Model-Notebooks-Course more popular on GitHub? Large-Language-Model-Notebooks-Course has more GitHub stars (1,821 vs 202). Stars measure visibility, not whether either tool fits your constraints. ### Are Reading_groups and Large-Language-Model-Notebooks-Course open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Reading_groups or Large-Language-Model-Notebooks-Course? GraphCanon lists graph-backed alternatives at [Reading_groups alternatives](/tools/crazyofapple-reading-groups/alternatives) and [Large-Language-Model-Notebooks-Course alternatives](/tools/peremartra-large-language-model-notebooks-course/alternatives) ([Reading_groups markdown twin](/tools/crazyofapple-reading-groups/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/crazyofapple-reading-groups-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, Reading_groups or Large-Language-Model-Notebooks-Course? Reading_groups: 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 Reading_groups and Large-Language-Model-Notebooks-Course? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Reading_groups trust report](/tools/crazyofapple-reading-groups/trust); [Large-Language-Model-Notebooks-Course trust report](/tools/peremartra-large-language-model-notebooks-course/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=crazyofapple-reading-groups`](/api/graphcanon/graph?tool=crazyofapple-reading-groups) - 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/_