REPOGEO REPORT · LITE
raiyanyahya/how-to-train-your-gpt
Default branch master · commit 00c355b1 · scanned 6/7/2026, 8:27:57 PM
GitHub: 2,217 stars · 292 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
4 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface raiyanyahya/how-to-train-your-gpt, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Clarify 'from scratch' in README intro to distinguish from fine-tuning
Why:
CURRENT> A guide to building a world-class language model from absolute scratch. Taught like you're five. Built like you're an engineer.
COPY-PASTE FIX> A guide to building a world-class language model from absolute scratch. This resource focuses on implementing the core architecture from first principles, not fine-tuning pre-existing models or using external APIs. Taught like you're five. Built like you're an engineer.
- mediumhomepage#2Add a homepage URL
Why:
COPY-PASTE FIXhttps://colab.research.google.com/github/raiyanyahya/how-to-train-your-gpt/blob/master/notebooks/colab_train.ipynb
- lowtopics#3Add 'llm-implementation' to topics
Why:
CURRENTattention-mechanism, deep-learning, educational, from-scratch, gpt, language-model, llama, llm, machine-learning, natural-language-processing, python, pytorch, tokenisation, transformers, tutorial
COPY-PASTE FIXattention-mechanism, deep-learning, educational, from-scratch, gpt, language-model, llama, llm, llm-implementation, machine-learning, natural-language-processing, python, pytorch, tokenisation, transformers, tutorial
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- The Illustrated Transformer · recommended 2×
- Attention Is All You Need · recommended 2×
- Neural Networks: Zero to Hero · recommended 1×
- Hugging Face Transformers Library · recommended 1×
- Deep Learning · recommended 1×
- CATEGORY QUERYHow can I learn to build a modern language model from scratch with simple explanations?you: not recommendedAI recommended (in order):
- The Illustrated Transformer
- Neural Networks: Zero to Hero
- Hugging Face Transformers Library
- Deep Learning
- PyTorch
- Attention Is All You Need
AI recommended 6 alternatives but never named raiyanyahya/how-to-train-your-gpt. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat resources explain transformer architecture and attention mechanism for beginners without complex jargon?you: not recommendedAI recommended (in order):
- The Illustrated Transformer
- Attention Is All You Need
- StatQuest with Josh Starmer
- Transformers from Scratch
- What are Transformers?
- A Gentle Introduction to Positional Encoding in Transformers
AI recommended 6 alternatives but never named raiyanyahya/how-to-train-your-gpt. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of raiyanyahya/how-to-train-your-gpt?passAI named raiyanyahya/how-to-train-your-gpt explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts raiyanyahya/how-to-train-your-gpt in production, what risks or prerequisites should they evaluate first?passAI named raiyanyahya/how-to-train-your-gpt explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo raiyanyahya/how-to-train-your-gpt solve, and who is the primary audience?passAI did not name raiyanyahya/how-to-train-your-gpt — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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raiyanyahya/how-to-train-your-gpt — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite