--- title: "ailia-models vs LLMs-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ailia-ai-ailia-models-vs-rasbt-llms-from-scratch" tools: ["ailia-ai-ailia-models", "rasbt-llms-from-scratch"] --- # ailia-models vs LLMs-from-scratch *GraphCanon updated Jul 11, 2026* ## Verdict Pick ailia-models when ailia-models is primarily Python; LLMs-from-scratch is Jupyter Notebook; pick LLMs-from-scratch when lLMs-from-scratch is primarily Jupyter Notebook; ailia-models is Python. [ailia-models](https://github.com/ailia-ai/ailia-models) reports 2.4k GitHub stars, 361 forks, and 322 open issues, last pushed Jul 10, 2026. [LLMs-from-scratch](https://amzn.to/4fqvn0D) has 99k stars, 15k forks, and 4 open issues, last pushed Jun 2, 2026. Figures are from public GitHub metadata via [ailia-models's repository](https://github.com/ailia-ai/ailia-models) and [LLMs-from-scratch's repository](https://github.com/rasbt/LLMs-from-scratch). | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) | | --- | --- | --- | | Tagline | The collection of pre-trained, state-of-the-art AI models for ailia SDK | Implement a ChatGPT-like LLM in PyTorch from scratch, step by step | | Stars | 2,351 | 98,899 | | Forks | 361 | 15,183 | | Open issues | 322 | 4 | | Language | Python | Jupyter Notebook | | Adopt for | - | LLMs-from-scratch is a project-oriented repository aimed at building PyTorch-based language models from the ground up, with detailed step-by-step instructions. | | Persona | - | - | | Runtime | - | - | | License | - | Other | | Categories | LLM Frameworks, Model Training, Vector Databases | LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ailia-models](/tools/ailia-ai-ailia-models.md) | [LLMs-from-scratch](/tools/rasbt-llms-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 38d | | Open issues (now) | 322 | 4 | | Owner type | Organization | User | | Full report | [trust report](/tools/ailia-ai-ailia-models/trust.md) | [trust report](/tools/rasbt-llms-from-scratch/trust.md) | ## Decision facts: LLMs-from-scratch - **Adopt for:** LLMs-from-scratch is a project-oriented repository aimed at building PyTorch-based language models from the ground up, with detailed step-by-step instructions. ## Choose when ### Choose ailia-models if… - ailia-models is primarily Python; LLMs-from-scratch is Jupyter Notebook. - Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal. - Also covers Vector Databases. ### Choose LLMs-from-scratch if… - LLMs-from-scratch is primarily Jupyter Notebook; ailia-models is Python. - Tags unique to LLMs-from-scratch: ai, artificial-intelligence, attention mechanism, finetuning. - - You are an advanced practitioner aiming to fully understand the underpinnings of LLMs using PyTorch as your primary framework. ## When NOT to use ailia-models - 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. - 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 LLMs-from-scratch - - If you are looking for a rapid deployment of an LLM without understanding its intricate structure - this tool requires extensive manual and conceptual work. - - You prefer frameworks with automatic model generation or other high-level abstractions that simplify the process. This repository emphasizes manual creation, which is more time-consuming but offers丰 - a deeper learning experience. ## Common questions ### What is the difference between ailia-models and LLMs-from-scratch? ailia-models: The collection of pre-trained, state-of-the-art AI models for ailia SDK. LLMs-from-scratch: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step. See the comparison table for live GitHub stats and shared categories. ### When should I choose ailia-models over LLMs-from-scratch? Choose ailia-models over LLMs-from-scratch when ailia-models is primarily Python; LLMs-from-scratch is Jupyter Notebook; Tags unique to ailia-models: action-recognition, anomaly-detection, audio-processing, background-removal; Also covers Vector Databases. ### When should I choose LLMs-from-scratch over ailia-models? Choose LLMs-from-scratch over ailia-models when LLMs-from-scratch is primarily Jupyter Notebook; ailia-models is Python; Tags unique to LLMs-from-scratch: ai, artificial-intelligence, attention mechanism, finetuning; - You are an advanced practitioner aiming to fully understand the underpinnings of LLMs using PyTorch as your primary framework. ### When should I avoid ailia-models? 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. 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 LLMs-from-scratch? - If you are looking for a rapid deployment of an LLM without understanding its intricate structure - this tool requires extensive manual and conceptual work. - You prefer frameworks with automatic model generation or other high-level abstractions that simplify the process. This repository emphasizes manual creation, which is more time-consuming but offers丰 a deeper learning experience. ### Is ailia-models or LLMs-from-scratch more popular on GitHub? LLMs-from-scratch has more GitHub stars (98,899 vs 2,351). Stars measure visibility, not whether either tool fits your constraints. ### Are ailia-models and LLMs-from-scratch open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ailia-models or LLMs-from-scratch? GraphCanon lists graph-backed alternatives at [ailia-models alternatives](/tools/ailia-ai-ailia-models/alternatives) and [LLMs-from-scratch alternatives](/tools/rasbt-llms-from-scratch/alternatives) ([ailia-models markdown twin](/tools/ailia-ai-ailia-models/alternatives.md), [LLMs-from-scratch markdown twin](/tools/rasbt-llms-from-scratch/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/ailia-ai-ailia-models-vs-rasbt-llms-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ailia-models or LLMs-from-scratch? ailia-models: Very active. LLMs-from-scratch: 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 ailia-models and LLMs-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ailia-models trust report](/tools/ailia-ai-ailia-models/trust); [LLMs-from-scratch trust report](/tools/rasbt-llms-from-scratch/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ailia-ai-ailia-models`](/api/graphcanon/graph?tool=ailia-ai-ailia-models) - 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/_