--- title: "chatgpt_system_prompt vs Awesome-AIGC-Tutorials" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/louisshark-chatgpt-system-prompt-vs-luban-agi-awesome-aigc-tutorials" tools: ["louisshark-chatgpt-system-prompt", "luban-agi-awesome-aigc-tutorials"] --- # chatgpt_system_prompt vs Awesome-AIGC-Tutorials *GraphCanon updated Jul 28, 2026* ## Verdict Pick chatgpt_system_prompt if chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking; pick Awesome-AIGC-Tutorials if awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. [chatgpt_system_prompt](https://github.com/LouisShark/chatgpt_system_prompt) reports 11k GitHub stars, 1.5k forks, and 1 open issues, last pushed Jul 27, 2026. [Awesome-AIGC-Tutorials](https://github.com/luban-agi/Awesome-AIGC-Tutorials) has 4.5k stars, 303 forks, and 10 open issues, last pushed Mar 31, 2024. Figures are from public GitHub metadata via [chatgpt_system_prompt's repository](https://github.com/LouisShark/chatgpt_system_prompt) and [Awesome-AIGC-Tutorials's repository](https://github.com/luban-agi/Awesome-AIGC-Tutorials). | | [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | | --- | --- | --- | | Tagline | A collection of GPT system prompts and knowledge on prompt injection leaking | Curated tutorials and resources for Large Language Models, AI Painting, and more | | Stars | 10,699 | 4,522 | | Forks | 1,468 | 303 | | Open issues | 1 | 10 | | Language | HTML | - | | Adopt for | chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking. | Awesome-AIGC-Tutorials supplies specialized guidance on Large Language Models and AI-generated artistry. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT license allows for free use in both open-source and proprietary products, with attribution required to the authors. | | Categories | Developer Tools | Developer Tools, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) | [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 0d | 848d | | Open issues (now) | 1 | 10 | | Owner type | User | Organization | | Full report | [trust report](/tools/louisshark-chatgpt-system-prompt/trust.md) | [trust report](/tools/luban-agi-awesome-aigc-tutorials/trust.md) | ## Shared compatibility - **ChatGPT**: [chatgpt_system_prompt](/tools/louisshark-chatgpt-system-prompt.md) - Works with ChatGPT; [Awesome-AIGC-Tutorials](/tools/luban-agi-awesome-aigc-tutorials.md) - Works with ChatGPT ## Decision facts: chatgpt_system_prompt - **Adopt for:** chatgpt_system_prompt is an essential resource for developers specifically using GPT models needing a collection of system prompts alongside education on the critical issue of prompt injection and leaking. ## 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. ## Choose when ### Choose chatgpt_system_prompt if… - Tags unique to chatgpt_system_prompt: gpt, prompt-engineering. - When working with GPT models, you seek direct examples and guidance related to secure prompt design - More GitHub stars (11k vs 4.5k) - visibility, not fit. ### 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, chatgpt, deep-learning. - Also covers LLM Frameworks, 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 NOT to use chatgpt_system_prompt - For developing or troubleshooting other types of AI models not based on GPT architecture which might have different requirements for system prompts - In scenarios where the focus is on learning generic machine learning principles rather than specific to GPT's prompt engineering considerations and limitations ## 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. ## Common questions ### What is the difference between chatgpt_system_prompt and Awesome-AIGC-Tutorials? chatgpt_system_prompt: A collection of GPT system prompts and knowledge on prompt injection leaking. Awesome-AIGC-Tutorials: Curated tutorials and resources for Large Language Models, AI Painting, and more. See the comparison table for live GitHub stats and shared categories. ### When should I choose chatgpt_system_prompt over Awesome-AIGC-Tutorials? Choose chatgpt_system_prompt over Awesome-AIGC-Tutorials when Tags unique to chatgpt_system_prompt: gpt, prompt-engineering; When working with GPT models, you seek direct examples and guidance related to secure prompt design; More GitHub stars (11k vs 4.5k) - visibility, not fit. ### When should I choose Awesome-AIGC-Tutorials over chatgpt_system_prompt? Choose Awesome-AIGC-Tutorials over chatgpt_system_prompt 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, chatgpt, deep-learning; Also covers LLM Frameworks, 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 avoid chatgpt_system_prompt? For developing or troubleshooting other types of AI models not based on GPT architecture which might have different requirements for system prompts In scenarios where the focus is on learning generic machine learning principles rather than specific to GPT's prompt engineering considerations and limitations ### 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. ### Is chatgpt_system_prompt or Awesome-AIGC-Tutorials more popular on GitHub? chatgpt_system_prompt has more GitHub stars (10,699 vs 4,522). Stars measure visibility, not whether either tool fits your constraints. ### Are chatgpt_system_prompt and Awesome-AIGC-Tutorials open source? Yes - both are open-source projects on GitHub (chatgpt_system_prompt: MIT, Awesome-AIGC-Tutorials: MIT). ### Where can I find alternatives to chatgpt_system_prompt or Awesome-AIGC-Tutorials? GraphCanon lists graph-backed alternatives at [chatgpt_system_prompt alternatives](/tools/louisshark-chatgpt-system-prompt/alternatives) and [Awesome-AIGC-Tutorials alternatives](/tools/luban-agi-awesome-aigc-tutorials/alternatives) ([chatgpt_system_prompt markdown twin](/tools/louisshark-chatgpt-system-prompt/alternatives.md), [Awesome-AIGC-Tutorials markdown twin](/tools/luban-agi-awesome-aigc-tutorials/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/louisshark-chatgpt-system-prompt-vs-luban-agi-awesome-aigc-tutorials.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chatgpt_system_prompt or Awesome-AIGC-Tutorials? chatgpt_system_prompt: Very active. Awesome-AIGC-Tutorials: 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 chatgpt_system_prompt and Awesome-AIGC-Tutorials? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chatgpt_system_prompt trust report](/tools/louisshark-chatgpt-system-prompt/trust); [Awesome-AIGC-Tutorials trust report](/tools/luban-agi-awesome-aigc-tutorials/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=louisshark-chatgpt-system-prompt`](/api/graphcanon/graph?tool=louisshark-chatgpt-system-prompt) - 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/_