Build an LLM from Scratch 2: Working with text data

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John
英语
大学生
简洁
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总结
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.
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