20th February 2024 - Link Blog
Let's build the GPT Tokenizer. When Andrej Karpathy left OpenAI last week a lot of people expressed hope that he would be increasing his output of educational YouTube videos.
Here’s an in-depth 2 hour dive into how tokenizers work and how to build one from scratch, published this morning.
The section towards the end, “revisiting and explaining the quirks of LLM tokenization”, helps explain a number of different LLM weaknesses—inability to reverse strings, confusion over arithmetic and even a note on why YAML can work better than JSON when providing data to LLMs (the same data can be represented in less tokens).
Recent articles
- OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened - 22nd July 2026
- A Fireside Chat with Cat and Thariq from the Claude Code team - 21st July 2026
- Kimi K3, and what we can still learn from the pelican benchmark - 16th July 2026