PyTorch Tokenization Tutorial: Theory, Implementation, and Examples

Welcome to our comprehensive PyTorch tokenization tutorial! In this video, we'll take you on a journey through the theory, implementation, and practical examples of tokenization using PyTorch. Whether you're new to tokenization or looking to deepen your understanding, this tutorial has something for everyone.

Key Topics Covered:

Theory of Tokenization: We'll start by exploring the fundamentals of tokenization, including its importance in natural language processing (NLP) and different tokenization methods such as word level, subword level, and character level.

PyTorch Implementation: Next, we'll dive into the implementation aspect using PyTorch. You'll learn how to preprocess text, select the appropriate tokenization model architecture, and define a training script to create the tokenizer and vocabulary.

Hands-On Examples: To solidify your understanding, we'll walk through practical examples of tokenization using PyTorch.