Natural Language Processing has seen explosive growth in recent years, thanks to transformer architectures and large language models.

In this post, I share my notes on key concepts and practical experiments.

Tokenization

Understanding how text is split into tokens is the first step.

Attention Mechanisms

The self-attention mechanism allows models to weigh the importance of different words in a sequence.

Prompt Engineering

With generative AI, crafting effective prompts has become a valuable skill.

Last modified on 2026-07-28