Understanding Byte Pair Encoding (BPE) by Building It From Scratch Introduction:...
Understanding Byte Pair Encoding (BPE) by Building It From Scratch
Introduction: Why Tokenization Exists
When working with Large Language Models (LLMs) like GPT, LLaMA, or Mistral, one of the first hidden steps is tokenization.
LLMs do not read raw text. Instead, text must first be converted into tokens — numerical representations that the model can process.
One of the most important tokenization techniques used in modern NLP systems is Byte Pair Encoding (BPE).
A practical comparison of the four subword tokenization algorithms powering every major LLM, with code examples and a decision…
BERT reads everything at once and understands. GPT reads left to right and predicts what comes next....
Here's a fact that breaks people's mental model of large language models the first time they really...
Meta and Stanford introduce BLT Diffusion, BLT-S, and BLT-DV to cut byte-level inference memory bandwidth by over 50%.
GPT generates text by predicting the next word. It reads left to right. BERT does something...
If you've worked with ChatGPT, Claude, Gemini, or any modern Large Language Model (LLM), you've...
