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These projects were analysed and named reasoning-from-scratch among their alternatives. The relationship is not symmetric — how reasoning-from-scratch rates them is a separate judgement, made when reasoning-from-scratch is analysed in its own right.
calls reasoning-from-scratch “The same from-scratch teaching style but centered on reasoning LLMs (RL/GRPO), if you want that focus.”
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
calls reasoning-from-scratch “Choose this if you want a focused step-by-step reasoning-model implementation with recent updates, rather than the broader minimind pipeline.”
🧠 Train a 64M-parameter LLM from scratch in just 2h!
calls reasoning-from-scratch “Choose when your goal is specifically a step-by-step reasoning-model training walkthrough in PyTorch.”
A straightforward method for training your LLM, from downloading data to generating text.
calls reasoning-from-scratch “If you want to implement reasoning LLMs from scratch at a deeper level than the seed's practical usage focus.”
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
calls reasoning-from-scratch “Focused on reasoning LLMs; choose for a deep dive into building a reasoning model from scratch.”
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
calls reasoning-from-scratch “Choose for a narrow deep-dive into implementing reasoning LLMs in PyTorch.”
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.