--- title: "Awesome-AIGC-Tutorials vs llm-books" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/luban-agi-awesome-aigc-tutorials-vs-morsoli-llm-books" tools: ["luban-agi-awesome-aigc-tutorials", "morsoli-llm-books"] --- # Awesome-AIGC-Tutorials vs llm-books *GraphCanon updated Aug 21, 2026* ## Verdict Pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry; pick llm-books if decision-Critical Facts for 'llm-books'. [Awesome-AIGC-Tutorials](https://github.com/luban-agi/Awesome-AIGC-Tutorials) reports 4.5k GitHub stars, 303 forks, and 10 open issues, last pushed Mar 31, 2024. [llm-books](https://aitutor.liduos.com/) has 767 stars, 53 forks, and 6 open issues, last pushed Nov 29, 2024. Figures are from public GitHub metadata via [Awesome-AIGC-Tutorials's repository](https://github.com/luban-agi/Awesome-AIGC-Tutorials) and [llm-books's repository](https://github.com/morsoli/llm-books). | | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | [llm-books](/tools/morsoli-llm-books.md) | | --- | --- | --- | | Tagline | Curated tutorials and resources for Large Language Models, AI Painting, and more | Notes on practical application development using LLM | | Stars | 4,522 | 767 | | Forks | 303 | 53 | | Open issues | 10 | 6 | | Language | - | Python | | Adopt for | Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. | Decision-Critical Facts for 'llm-books' | | Persona | - | - | | Runtime | - | - | | License | MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. | Unknown License | | Categories | Developer Tools, LLM Frameworks, Model Training | Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | [llm-books](/tools/morsoli-llm-books.md) | | --- | --- | --- | | Days since push | 848d | 629d | | Open issues (now) | 10 | 6 | | Stars delta | Unknown | 0 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/luban-agi-awesome-aigc-tutorials/trust.md) | [trust report](/tools/morsoli-llm-books/trust.md) | ## Shared compatibility - **ChatGPT**: [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) - Works with ChatGPT; [llm-books](/tools/morsoli-llm-books.md) - Works with ChatGPT - **LangChain**: [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) - LangChain integration; [llm-books](/tools/morsoli-llm-books.md) - LangChain integration ## Decision facts: Awesome-AIGC-Tutorials - **Requirements:** No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial. - **Adopt for:** Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. - **License detail:** MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. ## Decision facts: llm-books - **Pricing:** unknown - **Adopt for:** Decision-Critical Facts for 'llm-books' - **License detail:** Unknown License ## Choose when ### Choose Awesome-AIGC-Tutorials if… - Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.. - Tags unique to Awesome-AIGC-Tutorials: ai, aigc, deep-learning, midjourney. - Also covers Model Training. - If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources. ### Choose llm-books if… - Tags unique to llm-books: chatgpt-api, langchain, llmops, openai. - llm-books ships Docker support for self-hosted deployment. - Decision-Critical Facts for 'llm-books' ## When NOT to use Awesome-AIGC-Tutorials - Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. - Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis. ## When NOT to use llm-books - Last GitHub push was 630 days ago (dormant maintenance, Nov 29, 2024). Validate activity before betting a new project on llm-books. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between Awesome-AIGC-Tutorials and llm-books? Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. llm-books: Notes on practical application development using LLM. See the comparison table for live GitHub stats and shared categories. ### When should I choose Awesome-AIGC-Tutorials over llm-books? Choose Awesome-AIGC-Tutorials over llm-books when Requirements: No specific technical prerequisites are listed. Basic understanding of AI concepts like LLMs and NLP is beneficial.; Tags unique to Awesome-AIGC-Tutorials: ai, aigc, deep-learning, midjourney; Also covers Model Training; If you aim to deepen your understanding of prompt engineering for models like MidJourney or Stable Diffusion, this repository offers focused tutorials and resources. ### When should I choose llm-books over Awesome-AIGC-Tutorials? Choose llm-books over Awesome-AIGC-Tutorials when Tags unique to llm-books: chatgpt-api, langchain, llmops, openai; llm-books ships Docker support for self-hosted deployment; Decision-Critical Facts for 'llm-books'. ### When should I avoid Awesome-AIGC-Tutorials? Avoid if you are looking for a one-stop-shop coding platform, as Awesome-AIGC-Tutorials provides theoretical knowledge and tutorials rather than practical code samples. Not suitable if your focus is solely on the commercial deployment of large language models; this repository does not cover market-specific insights or competitive analysis. ### When should I avoid llm-books? Last GitHub push was 630 days ago (dormant maintenance, Nov 29, 2024). Validate activity before betting a new project on llm-books. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is Awesome-AIGC-Tutorials or llm-books more popular on GitHub? Awesome-AIGC-Tutorials has more GitHub stars (4,522 vs 767). Stars measure visibility, not whether either tool fits your constraints. ### Are Awesome-AIGC-Tutorials and llm-books open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to Awesome-AIGC-Tutorials or llm-books? GraphCanon lists graph-backed alternatives at [Awesome-AIGC-Tutorials alternatives](/tools/luban-agi-awesome-aigc-tutorials/alternatives) and [llm-books alternatives](/tools/morsoli-llm-books/alternatives) ([Awesome-AIGC-Tutorials markdown twin](/tools/luban-agi-awesome-aigc-tutorials/alternatives.md), [llm-books markdown twin](/tools/morsoli-llm-books/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/luban-agi-awesome-aigc-tutorials-vs-morsoli-llm-books.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Awesome-AIGC-Tutorials or llm-books? Awesome-AIGC-Tutorials: Dormant. llm-books: 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 Awesome-AIGC-Tutorials and llm-books? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Awesome-AIGC-Tutorials trust report](/tools/luban-agi-awesome-aigc-tutorials/trust); [llm-books trust report](/tools/morsoli-llm-books/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials`](/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials) - 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/_