Lecture 8: The GPT Tokenizer: Byte Pair Encoding

Описание: In this lecture, we will learn about Byte Pair Encoding: the tokenizer which powers modern LLMs like GPT-2, GPT-3 and GPT-4.

The key reference book which this video series very closely follows is Build a Large Language Model from Scratch by Manning Publications. All schematics and their descriptions are borrowed from this incredible book!

This book serves as a comprehensive guide to understanding and building large language models, covering key concepts, techniques, and implementations.

Affiliate links for purchasing the book will be added soon. Stay tuned for updates!

0:00 Why we need Byte Pair Encoder (BPE)
2:55 Word and character level tokenizers
11:37 Sub-word tokenization
16:05 Byte Pair Encoder (BPE) Algorithm
21:33 BPE for Large Language Models
22:42 BPE practical demonstration
40:51 Implementing BPE in Python
47:47 Key takeaways


Entire Code file link: https://drive.google.com/file/d/1ukW7...

OpenAI BPE Implementation (tiktoken):
https://github.com/openai/tiktoken

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