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

Why watch

A comprehensive hands-on tutorial teaching how to build and train the GLM-5.3-Flash multimodal language model from scratch using Python. Covers the full lifecycle including tokenization, embeddings, transformer architecture with MoE and sparse attention, and reinforcement learning optimization. Ideal for ML engineers and AI researchers looking to understand advanced language model architecture and training techniques.