In this tutorial, we delve into the concept of Byte Pair Encoding (BPE) used in AI language processing, employing a practical and accessible tool: the spreadsheet.

This video is part of our series that aims to simplify complex AI concepts using spreadsheets. If you can read a spreadsheet, you can understand the inner workings of modern artificial intelligence.

🧠 Who Should Watch:

- Individuals interested in AI and natural language processing.
- Students and educators in computer science.
- Anyone seeking to understand how AI processes language.

🤖 What You'll Learn:

Tokenization Basics: An introduction to how tokenization works in language models like Chat GPT.

Byte Pair Encoding (BPE): Detailed walkthrough of the BPE algorithm, including its learning phase and application in language data tokenization.

Spreadsheet Simulation: A hands-on demonstration of the GPT-2's tokenization process via a spreadsheet model.

Limitations and Alternatives: Discussion on the challenges of BPE and a look at other tokenization methods.

🔗 Resources:

Learn more and download the Excel sheet at [ Ссылка ]

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