If you’re interested in natural language processing or machine learning, you’ve probably come across Byte Pair Encoding (BPE). But what is it, and how does it work? In a recent blog post, I delved into the world of BPE, exploring its intuition, importance, and implementation in Rust.
From building the intuition behind BPE to understanding how vocabulary size affects performance, I covered it all. The post also includes a practical implementation in Rust, which you can find on GitHub.
Check it out and let me know your thoughts! Whether you’re a seasoned NLP expert or just starting out, I’d love to hear your suggestions and feedback.
Byte Pair Encoding is a fascinating topic that has many implications for language models and text processing. By understanding how it works, we can unlock new possibilities for AI applications and improve our models’ performance.