L-10 | Train Domain Specific Tokenizer for LLLMs
Автор: Code With Aarohi
Загружено: 2026-02-22
Просмотров: 1803
Описание:
In this video, we learn how to train a tokenizer on a domain-specific dataset step by step. Instead of using a general-purpose tokenizer, we create a custom tokenizer tailored to our own data.
GitHub: https://github.com/codewithaarohi/Tra...
We cover:
What a tokenizer is and why it matters in NLP
Why domain-specific tokenization improves model performance
How subword tokenization (BPE) works
Training a tokenizer using the Hugging Face tokenizers library
Generating a custom vocabulary file
Real examples of domain-specific tokenization
If you're working on LLMs, NLP projects, or fine-tuning models on custom data, training your own tokenizer can significantly improve results.
Perfect for:
AI engineers, NLP learners, LLM enthusiasts, and anyone building domain-specific language models.
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