--- title: "start-llms vs Large-Language-Model-Notebooks-Course" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/louisfb01-start-llms-vs-peremartra-large-language-model-notebooks-course" tools: ["louisfb01-start-llms", "peremartra-large-language-model-notebooks-course"] --- # start-llms vs Large-Language-Model-Notebooks-Course *GraphCanon updated Aug 24, 2026* ## Verdict Pick start-llms if a comprehensive beginner-friendly guide oriented towards developing Large Language Model (LLM) skills through the latest methods and industry practices; 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. [start-llms](https://www.louisbouchard.ai/from-zero-to-hero-with-llms/) reports 979 GitHub stars, 127 forks, and 2 open issues, last pushed Jan 23, 2026. [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 [start-llms's repository](https://github.com/louisfb01/start-llms) and [Large-Language-Model-Notebooks-Course's repository](https://github.com/peremartra/Large-Language-Model-Notebooks-Course). | | [start-llms](/tools/louisfb01-start-llms.md) | [Large-Language-Model-Notebooks-Course](/tools/peremartra-large-language-model-notebooks-course.md) | | --- | --- | --- | | Tagline | A comprehensive guide for beginners to advance in LLM skills and stay current with industry developments. | Practical course about Large Language Models | | Stars | 979 | 1,821 | | Forks | 127 | 447 | | Open issues | 2 | 0 | | Language | - | Jupyter Notebook | | Adopt for | A comprehensive beginner-friendly guide oriented towards developing Large Language Model (LLM) skills through the latest methods and industry practices. | A developing, comprehensive hands-on course covering a broad array of LLM tools and applications from OpenAI and Hugging Face. | | Persona | - | - | | Runtime | - | - | | License | MIT | 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._ | | [start-llms](/tools/louisfb01-start-llms.md) | [Large-Language-Model-Notebooks-Course](/tools/peremartra-large-language-model-notebooks-course.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 212d | 79d | | Open issues (now) | 2 | 0 | | Stars delta | 0 (30d) | +3 (30d) | | Full report | [trust report](/tools/louisfb01-start-llms/trust.md) | [trust report](/tools/peremartra-large-language-model-notebooks-course/trust.md) | ## Decision facts: start-llms - **Adopt for:** A comprehensive beginner-friendly guide oriented towards developing Large Language Model (LLM) skills through the latest methods and industry practices. ## 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 start-llms if… - Tags unique to start-llms: ai, fine-tuning, gpt, language-model. - You are a newcomer to LLMs looking for an accessible introductory pathway. ### 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 start-llms - You already have advanced expertise or are a seasoned professional who prefers to dive deep into specialized areas immediately. - Your primary objective is real-time collaboration features for model development teams, as the repository does not highlight these aspects. ## 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 start-llms and Large-Language-Model-Notebooks-Course? start-llms: A comprehensive guide for beginners to advance in LLM skills and stay current with industry developments.. 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 start-llms over Large-Language-Model-Notebooks-Course? Choose start-llms over Large-Language-Model-Notebooks-Course when Tags unique to start-llms: ai, fine-tuning, gpt, language-model; You are a newcomer to LLMs looking for an accessible introductory pathway. ### When should I choose Large-Language-Model-Notebooks-Course over start-llms? Choose Large-Language-Model-Notebooks-Course over start-llms 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 start-llms? You already have advanced expertise or are a seasoned professional who prefers to dive deep into specialized areas immediately. Your primary objective is real-time collaboration features for model development teams, as the repository does not highlight these aspects. ### 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 start-llms or Large-Language-Model-Notebooks-Course more popular on GitHub? Large-Language-Model-Notebooks-Course has more GitHub stars (1,821 vs 979). Stars measure visibility, not whether either tool fits your constraints. ### Are start-llms and Large-Language-Model-Notebooks-Course open source? Yes - both are open-source projects on GitHub (start-llms: MIT, Large-Language-Model-Notebooks-Course: MIT). ### Where can I find alternatives to start-llms or Large-Language-Model-Notebooks-Course? GraphCanon lists graph-backed alternatives at [start-llms alternatives](/tools/louisfb01-start-llms/alternatives) and [Large-Language-Model-Notebooks-Course alternatives](/tools/peremartra-large-language-model-notebooks-course/alternatives) ([start-llms markdown twin](/tools/louisfb01-start-llms/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/louisfb01-start-llms-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, start-llms or Large-Language-Model-Notebooks-Course? start-llms: Slowing. 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 start-llms and Large-Language-Model-Notebooks-Course? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [start-llms trust report](/tools/louisfb01-start-llms/trust); [Large-Language-Model-Notebooks-Course trust report](/tools/peremartra-large-language-model-notebooks-course/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=louisfb01-start-llms`](/api/graphcanon/graph?tool=louisfb01-start-llms) - 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/_