--- title: "AI-For-Beginners vs what_are_embeddings" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/microsoft-ai-for-beginners-vs-veekaybee-what-are-embeddings" tools: ["microsoft-ai-for-beginners", "veekaybee-what-are-embeddings"] --- # AI-For-Beginners vs what_are_embeddings *GraphCanon updated Jul 11, 2026* ## Verdict Pick AI-For-Beginners when tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence; pick what_are_embeddings when tags unique to what_are_embeddings: embeddings, machine-learning-algorithms, jupyter notebook, nlp-machine-learning. [AI-For-Beginners](https://github.com/microsoft/AI-For-Beginners) reports 52k GitHub stars, 11k forks, and 4 open issues, last pushed Jul 8, 2026. [what_are_embeddings](http://vickiboykis.com/what_are_embeddings/) has 1.1k stars, 87 forks, and 0 open issues, last pushed Jan 17, 2026. Figures are from public GitHub metadata via [AI-For-Beginners's repository](https://github.com/microsoft/AI-For-Beginners) and [what_are_embeddings's repository](https://github.com/veekaybee/what_are_embeddings). | | [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) | [what_are_embeddings](/tools/veekaybee-what-are-embeddings.md) | | --- | --- | --- | | Tagline | 12 Weeks, 24 Lessons, AI for All! | A deep dive into embeddings starting from fundamentals | | Stars | 52,098 | 1,091 | | Forks | 10,536 | 87 | | Open issues | 4 | 0 | | Language | Jupyter Notebook | Jupyter Notebook | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MIT | - | | Categories | Model Training, Vector Databases, Computer Vision | Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AI-For-Beginners](/tools/microsoft-ai-for-beginners.md) | [what_are_embeddings](/tools/veekaybee-what-are-embeddings.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 175d | | Open issues (now) | 4 | 0 | | Owner type | Organization | User | | Security scan | 3 low (3 low) | No lockfile | | Full report | [trust report](/tools/microsoft-ai-for-beginners/trust.md) | [trust report](/tools/veekaybee-what-are-embeddings/trust.md) | ## Choose when ### Choose AI-For-Beginners if… - Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence. - Also covers Model Training, Computer Vision. - More GitHub stars (52k vs 1.1k) - visibility, not fit. ### Choose what_are_embeddings if… - Tags unique to what_are_embeddings: embeddings, machine-learning-algorithms, jupyter notebook, nlp-machine-learning. - Leaner open-issue backlog (0). ## When NOT to use AI-For-Beginners - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use what_are_embeddings - Last GitHub push was 176 days ago (slowing maintenance, Jan 17, 2026). Validate activity before betting a new project on what_are_embeddings. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between AI-For-Beginners and what_are_embeddings? AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!. what_are_embeddings: A deep dive into embeddings starting from fundamentals. See the comparison table for live GitHub stats and shared categories. ### When should I choose AI-For-Beginners over what_are_embeddings? Choose AI-For-Beginners over what_are_embeddings when Tags unique to AI-For-Beginners: deep-learning, microsoft-for-beginners, ai, artificial-intelligence; Also covers Model Training, Computer Vision; More GitHub stars (52k vs 1.1k) - visibility, not fit. ### When should I choose what_are_embeddings over AI-For-Beginners? Choose what_are_embeddings over AI-For-Beginners when Tags unique to what_are_embeddings: embeddings, machine-learning-algorithms, jupyter notebook, nlp-machine-learning; Leaner open-issue backlog (0). ### When should I avoid AI-For-Beginners? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### When should I avoid what_are_embeddings? Last GitHub push was 176 days ago (slowing maintenance, Jan 17, 2026). Validate activity before betting a new project on what_are_embeddings. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is AI-For-Beginners or what_are_embeddings more popular on GitHub? AI-For-Beginners has more GitHub stars (52,098 vs 1,091). Stars measure visibility, not whether either tool fits your constraints. ### Are AI-For-Beginners and what_are_embeddings open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to AI-For-Beginners or what_are_embeddings? GraphCanon lists graph-backed alternatives at [AI-For-Beginners alternatives](/tools/microsoft-ai-for-beginners/alternatives) and [what_are_embeddings alternatives](/tools/veekaybee-what-are-embeddings/alternatives) ([AI-For-Beginners markdown twin](/tools/microsoft-ai-for-beginners/alternatives.md), [what_are_embeddings markdown twin](/tools/veekaybee-what-are-embeddings/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/microsoft-ai-for-beginners-vs-veekaybee-what-are-embeddings.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, AI-For-Beginners or what_are_embeddings? AI-For-Beginners: Very active. what_are_embeddings: Slowing. 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 AI-For-Beginners and what_are_embeddings? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AI-For-Beginners trust report](/tools/microsoft-ai-for-beginners/trust); [what_are_embeddings trust report](/tools/veekaybee-what-are-embeddings/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=microsoft-ai-for-beginners`](/api/graphcanon/graph?tool=microsoft-ai-for-beginners) - 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/_