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Learn how large language models generate responses step by step. Understand tokenization, embeddings, attention, and next-token prediction to see why LLMs sound confident, how they work internally, and why hallucinations occur.
Tokenization is the process of breaking text into smaller meaningful units called tokens. This complete guide explains what tokenization is, how it works in NLP and LLMs, types of tokenizers, examples, challenges, advanced subword algorithms and modern AI applications in 2025.
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