What is Tokenization in AI

In this video, Gyula Rabai Jr. breaks down the concept of tokenization and explains how it plays a crucial role in how AI models process language. Tokenization is the process of converting words into numbers, and it’s essential for training large language models (LLMs) like Llama3 to understand and generate text.

Key Topics

1. Tokenization explained
2. Converting text to numbers for AI
3. How language models process tokens
4. Efficiency in large language models
5. Tokenization in AI and machine learning

Video overview

Why do we need tokenization? AI models work with numbers, not words. To use an AI model effectively, we need to convert text into numerical data that the model can process. Tokenization simplifies this by turning entire words or phrases into a single number, allowing models to predict the next word or process text more efficiently.

In this video, we explore:

• What tokenization is and why it's necessary
• How tokenization transforms words into numbers for AI models
• The differences between tokenization and character-based encoding
• How tokenization improves the efficiency of large language models
• Examples like "Hello" turning into "9906" and "de" becoming its own token

More information

• Large Language Models (LLM) - What is AI
• Large Language Models (LLM) - What are LLMs
• Large Language Models (LLM) - Tokenization in AI
• Large Language Models (LLM) - Embedding in AI
• Large Language Models (LLM) - RoPE (Positional Encoding) in AI
• Large Language Models (LLM) - Layers in AI
• Large Language Models (LLM) - Attention in AI
• Large Language Models (LLM) - GLU (Gated Liner Unit) in AI
• Large Language Models (LLMs) - Normalization (RMS or RMSNorm) in AI
• Large Language Models (LLM) - Unembedding in AI
• Large Language Models (LLM) - Temperature in AI
• Large Language Models (LLM) - Model size an Parameter size in AI
• Large Language Models (LLM) - Training in AI
• Large Language Models (LLM) - Hardware acceleration, GPUs, NPUs in AI
• Large Language Models (LLM) - Templates in AI
• Large Language Models (LLM) - Putting it all together - The Architecture of LLama3