--- title: "Failed-ML vs generative-ai-for-beginners" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kennethleungty-failed-ml-vs-microsoft-generative-ai-for-beginners" tools: ["kennethleungty-failed-ml", "microsoft-generative-ai-for-beginners"] --- # Failed-ML vs generative-ai-for-beginners *GraphCanon updated Jul 11, 2026* ## Verdict Pick Failed-ML when tags unique to Failed-ML: artificial-intelligence, classification, computer-vision, data-engineering; pick generative-ai-for-beginners when tags unique to generative-ai-for-beginners: azure, chatgpt, dall-e, generative-ai. [Failed-ML](https://towardsdatascience.com/when-ai-goes-astray-high-profile-machine-learning-mishaps-in-the-real-world-26bd58692195) reports 753 GitHub stars, 51 forks, and 0 open issues, last pushed Jun 14, 2024. [generative-ai-for-beginners](https://github.com/microsoft/generative-ai-for-beginners) has 113k stars, 61k forks, and 7 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [Failed-ML's repository](https://github.com/kennethleungty/Failed-ML) and [generative-ai-for-beginners's repository](https://github.com/microsoft/generative-ai-for-beginners). | | [Failed-ML](/tools/kennethleungty-failed-ml.md) | [generative-ai-for-beginners](/tools/microsoft-generative-ai-for-beginners.md) | | --- | --- | --- | | Tagline | Compilation of high-profile real-world examples of failed machine learning projects | 21 Lessons, Get Started Building with Generative AI | | Stars | 753 | 112,866 | | Forks | 51 | 60,628 | | Open issues | 0 | 7 | | Language | - | Jupyter Notebook | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Computer Vision, LLM Frameworks, Model Training | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Failed-ML](/tools/kennethleungty-failed-ml.md) | [generative-ai-for-beginners](/tools/microsoft-generative-ai-for-beginners.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 757d | 2d | | Open issues (now) | 0 | 7 | | Owner type | User | Organization | | Full report | [trust report](/tools/kennethleungty-failed-ml/trust.md) | [trust report](/tools/microsoft-generative-ai-for-beginners/trust.md) | ## Choose when ### Choose Failed-ML if… - Tags unique to Failed-ML: artificial-intelligence, classification, computer-vision, data-engineering. - Also covers Computer Vision. - Leaner open-issue backlog (0). ### Choose generative-ai-for-beginners if… - Tags unique to generative-ai-for-beginners: azure, chatgpt, dall-e, generative-ai. - More GitHub stars (113k vs 753) - visibility, not fit. ## When NOT to use Failed-ML - Last GitHub push was 758 days ago (dormant maintenance, Jun 14, 2024). Validate activity before betting a new project on Failed-ML. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use generative-ai-for-beginners - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## Common questions ### What is the difference between Failed-ML and generative-ai-for-beginners? Failed-ML: Compilation of high-profile real-world examples of failed machine learning projects. generative-ai-for-beginners: 21 Lessons, Get Started Building with Generative AI. See the comparison table for live GitHub stats and shared categories. ### When should I choose Failed-ML over generative-ai-for-beginners? Choose Failed-ML over generative-ai-for-beginners when Tags unique to Failed-ML: artificial-intelligence, classification, computer-vision, data-engineering; Also covers Computer Vision; Leaner open-issue backlog (0). ### When should I choose generative-ai-for-beginners over Failed-ML? Choose generative-ai-for-beginners over Failed-ML when Tags unique to generative-ai-for-beginners: azure, chatgpt, dall-e, generative-ai; More GitHub stars (113k vs 753) - visibility, not fit. ### When should I avoid Failed-ML? Last GitHub push was 758 days ago (dormant maintenance, Jun 14, 2024). Validate activity before betting a new project on Failed-ML. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid generative-ai-for-beginners? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### Is Failed-ML or generative-ai-for-beginners more popular on GitHub? generative-ai-for-beginners has more GitHub stars (112,866 vs 753). Stars measure visibility, not whether either tool fits your constraints. ### Are Failed-ML and generative-ai-for-beginners open source? Yes - both are open-source projects on GitHub (Failed-ML: MIT, generative-ai-for-beginners: MIT). ### Where can I find alternatives to Failed-ML or generative-ai-for-beginners? GraphCanon lists graph-backed alternatives at [Failed-ML alternatives](/tools/kennethleungty-failed-ml/alternatives) and [generative-ai-for-beginners alternatives](/tools/microsoft-generative-ai-for-beginners/alternatives) ([Failed-ML markdown twin](/tools/kennethleungty-failed-ml/alternatives.md), [generative-ai-for-beginners markdown twin](/tools/microsoft-generative-ai-for-beginners/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/kennethleungty-failed-ml-vs-microsoft-generative-ai-for-beginners.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Failed-ML or generative-ai-for-beginners? Failed-ML: Dormant. generative-ai-for-beginners: Very active. 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 Failed-ML and generative-ai-for-beginners? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Failed-ML trust report](/tools/kennethleungty-failed-ml/trust); [generative-ai-for-beginners trust report](/tools/microsoft-generative-ai-for-beginners/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kennethleungty-failed-ml`](/api/graphcanon/graph?tool=kennethleungty-failed-ml) - 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/_