How AI Converts Text into Tokens (Tokenization Explained)
About this lesson
00:00 Why AI Needs Tokenization 00:26 Tokenization Analogy in Real Life 00:44 What is Tokenization? 01:14 Types of Tokenization 02:48 Where Tokenization Matters 03:34 Real Challenges in Tokenization 05:19 Tokenization Libraries (Hugging Face, tiktoken) 05:00 Challenges in Tokenization 06:20 Final Thoughts How does AI actually understand text? It doesn’t read words the way we do — it converts everything into tokens. Tokenization is the bridge between human language and machine computation. In this video, we break it down from scratch in a simple, beginner-friendly way. You’ll learn: • What tokenization is (in simple terms) • Why LLMs need tokenization • The three main types: word, character, and subword • Real examples of how text becomes tokens • Popular libraries like Hugging Face & tiktoken • Key challenges and limitations By the end, you’ll clearly understand how AI processes text behind the scenes. 👍 Like, Subscribe & Hit the Bell 🔔 🌐 Connect with me: LinkedIn: https://www.linkedin.com/in/tiyasamukherjee Let’s learn and grow together 🚀 #Tokenization #LLM #NLP #GenerativeAI #MachineLearning #AIExplained #AIForBeginners
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