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🔤 Topic 32: Tokenizer Deep Dive — BPE, WordPiece, Unigram

Course: NLP Advanced | Section 4: Pre-trained Language Models Topic: Tokenizer Algorithms — BPE,…

Topic 1

📌 Overview: Tokenization Kyun Critical Hai?

🧠 ` Tokenization = Text ko model-ready pieces me todna Why it matters:…

Topic 2

🔷 Algorithm 1: BPE (Byte-Pair Encoding)

🔗 ` BPE: Sabse Popular Subword Algorithm Used by: GPT-2, GPT-3, GPT-4, RoBERTa, LLaMA…

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🟢 Algorithm 2: WordPiece

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Unknown word → greedily match…

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Continuation marked with "##"…

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🟡 Algorithm 3: Unigram Language Model

📊 ` Unigram: OPPOSITE approach of BPE! Used by: T5, ALBERT, XLNet (via SentencePiece) BPE:…

Topic 5

🟣 SentencePiece: Language-Agnostic Framework

💡 ` SentencePiece: Pre-tokenization Free! Used by: T5, ALBERT, XLNet, mT5, LLaMA Problem…

Topic 6

📊 Algorithm Comparison

🎯 ` ┌────────────────┬─────────────┬─────────────┬─────────────┬──────────────┐ │ │ BPE │…

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💻 Complete Python Implementation

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BPE: merge most FREQUENT pair

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WordPiece: merge pair with highest…

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BPE: start small, add merges…

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Unigram: start big, remove tokens…

Topic 8

❓ Quiz — Tokenizer Mastery

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A) BPE bottom-up hai, WordPiece…

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B) BPE frequency se merge karta…

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C) BPE slower hai

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D) WordPiece me [UNK] nahi hota

Topic 9

🧭 Navigation

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🔤 Topic 32: Tokenizer Deep Dive — BPE, WordPiece, Unigram ka sabse sahi definition kya hai?

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🔤 Topic 32: Tokenizer Deep Dive — BPE, WordPiece, Unigram Complete!

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