In this video under GenAI LLM Learning series, we dive deep into LLM tokenization, an essential process for Large Language Models (LLMs) to understand and generate text. You’ll learn what tokenization is, why LLMs need it, and when it is required. We also cover key concepts like token vocabulary, token IDs, context window, and the relationship between tokenization and de-tokenization.
Plus, we’ll explore 9 essential tokenization methods with hands-on Python implementations to help you grasp the theory and apply it in practice:
✨ Whitespace Tokenization
✨ Character Tokenization
✨ Word Tokenization
✨ Sentence Tokenization
✨ Byte-Pair Encoding (BPE)
✨ WordPiece Tokenization
✨ SentencePiece Tokenization
✨ Unigram Tokenization
✨ Byte-Level BPE (BBPE)
Whether you’re a beginner curious about how AI works or an experienced developer looking to deepen your understanding of LLM, this video is your ultimate guide to mastering LLM tokenization and its role in natural language processing (NLP) and generative AI.
💡 Why watch this video?
• Learn the foundations of tokenization and why it’s crucial for AI.
• Get practical coding examples to implement tokenization in Python.
• Understand how tokenization impacts model performance, efficiency, and accuracy.
• Gain insights into advanced techniques like BPE and BBPE used in state-of-the-art models.
📌 Don’t forget to like, share, and subscribe for more in-depth tutorials on AI, GenAI, LLM, and machine learning!
📌 Timestamps:
01: 25 Recap of last video (LLM introduction)
02:22 What is LLM Tokenization
05:55 Why LLM requires Tokenization
10:52 When tokenization is needed
11:53 What is token vocabulary
13:50 What is token ID
16:00 What is context window
18:37 Tokenization and De-tokenization
20:04 Tokenization methods
34:14 Python code
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🔍 Keywords & Hashtags:
#LLMTokenization #TokenizationExplained #LargeLanguageModels #GenerativeAI #NLP #MachineLearning #ArtificialIntelligence #AITokenization #TokenVocabulary #TokenID #ContextWindow #Detokenization #BPE #WordPiece #SentencePiece #Unigram #ByteLevelBPE #PythonCoding #NLPTutorial #AIEducation #AICoding #techexplained
Keywords: LLM Tokenization, Tokenization in NLP, Large Language Models, Tokenization methods, Whitespace Tokenization, Character Tokenization, Word Tokenization, Sentence Tokenization, Byte-Pair Encoding, BPE, WordPiece, SentencePiece, Unigram Tokenization, Byte-Level BPE, BBPE, Token Vocabulary, Token ID, Context Window, De-tokenization, Python Tokenization, NLP coding, AI tutorials
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