Recommended: 43-Episode Hardcore LLM Tutorial
techNmak · x · 2026-07-20
Highly recommending a 43-episode hardcore LLM tutorial series by Vizuara. The series focuses on building large language models from scratch and fine-tuning them, covering:
- Basics & Data: LLM fundamentals, Transformer principles, writing a tokenizer from scratch with BPE, and data preprocessing pipelines.
- Attention Mechanisms: From simplified attention to K/Q/V self-attention, with line-by-line code implementation of multi-head causal attention.
- Architecture & Training: Writing Transformer modules from scratch, building a 124M parameter GPT-2 model, and coding pre-training loops and decoding strategies (temperature scaling, Top-k sampling).
- Fine-tuning Practice: Building a spam classifier from scratch, performing instruction tuning using the Alpaca format, and evaluating with Ollama.
Note: Some advanced lessons have recently moved to YouTube Premium, but the series remains incredibly valuable for learning.
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