Build an LLM from Scratch 2: Working with text data

Chapter two focuses on preparing text data for training a Large Language Model (LLM). It covers tokenization, converting text into token IDs, and creating embeddings. The process includes using libraries for data handling, implementing a tokenizer, and adding positional information to enhance model understanding. The chapter sets the groundwork for LLM training.