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Anurag Verma

@anurag629 since Jan 2022

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Tuesday, Feb 17, 2026

shipped

Day 4: Tokenization and Hugging Face basics

Anurag added a comprehensive module to gen_ai_engineer covering tokenization from first principles through production libraries.

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anurag629 @anurag629 1 cited

The new material walks through building a byte-pair encoding tokenizer from scratch, implementing train, encode, and decode functions with compression analysis [1]. After establishing that foundation, the module shifts to practical text generation using Hugging Face's GPT-2 and DistilGPT-2 models, then explores sampling strategies: temperature scaling, top-k filtering, and nucleus (top-p) sampling, comparing their effects on perplexity. Eight educational visualizations accompany the content, illustrating tokenization mechanics, the BPE algorithm itself, UTF-8 encoding, and the three sampling approaches. The README explains the byte-level BPE variant that modern transformers use, grounding theory in how real models tokenize text.

python nlp education

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Day 4: Tokenization and Hugging Face basics

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