Build & Train a GLM-5.3-Flash Model From Scratch with Python

Learn how to design, build, and train an advanced multimodal language model from scratch using modern techniques like mixture-of-experts, sparse attention, and reinforcement learning. This hands-on guide walks you through the entire lifecycle from tokenization and pre-training to post-training optimization and evaluation.

Video from @vukrosic

GitHub: https://github.com/vukrosic/glm-5.3-flash-from-scratch
Become AI researcher in 90 days: https://www.skool.com/become-ai-researcher-2669/about
Slides: https://github.com/vukrosic/glm-5.3-flash-from-scratch/blob/main/slides/slides.html
Blog: https://z.ai/blog/glm-5.3-flash

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

⭐️ Chapters ⭐️
- 00:00 Introduction & What We're Building
- 01:02 The Modern AI Researcher Role & Asking Research Questions
- 04:50 Tokenization & Byte-Level Vocabulary (Why Small Vocab Matters)
- 07:01 Embeddings & Transformer Forward Pass Overview
- 08:53 GLM-5.3 Architecture Overview & Model Specifications
- 10:25 Code Walkthrough: Embeddings & Token Representation
- 11:56 Manifold Constrained...