Building a Large Language Model from Scratch

Welcome to this comprehensive guide on building a Large Language Model (LLM) from scratch. In this series, we will demystify the magic behind models like GPT and BERT by building one ourselves.

What we will cover

• Understanding the Transformer architecture
• Tokenization and data preprocessing
• Implementing Self-Attention mechanisms
• Training and optimization strategies

By the end of this tutorial, you will have a working (albeit small) language model and a deep understanding of the underlying principles.