LLMs-Zero-to-Hero is an open-source educational project designed to guide learners through the complete process of understanding and building large language models from the ground up. The repository presents a structured learning pathway that begins with fundamental concepts in machine learning and progresses toward advanced topics such as model pre-training, fine-tuning, and deployment. Rather than relying entirely on existing frameworks, the project encourages readers to implement important components themselves in order to gain a deeper understanding of how modern language models work internally. It includes explanations of dense transformer architectures, mixture-of-experts models, training pipelines, and techniques used in contemporary LLM development.

Features

  • Step-by-step learning pathway for building large language models from scratch
  • Hands-on implementation of transformer and mixture-of-experts architectures
  • Tutorials covering pre-training, fine-tuning, and RLHF techniques
  • Educational notebooks and code examples demonstrating model internals
  • Integration with video tutorials and explanatory materials
  • Coverage of deployment, inference optimization, and model scaling techniques

Project Samples

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License

Apache License V2.0

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Additional Project Details

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

2026-03-06