Let’s Build the GPT Tokenizer: A Complete Guide to Tokenization in LLMs

1. 1Watch Andrej Karpathy's 2h13m tokenizer video
2. 2Read the translated book chapter on tokenization
3. 3Implement key pieces of code from the chapter
4. 4Experiment with different tokenization techniques for LLMs

NLP engineers and researchers on a team can benefit from understanding tokenization in LLMs to improve model performance and efficiency. This knowledge can also be useful for AI engineers and ML researchers working with language models.

💡 Tokenization is a key component of how LLMs work

📚 Build your own GPT tokenizer with this complete guide!