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How Large Language Models Work Tokenization, Embeddings, Context Windows, and Text Generation in Artificial Intelligence, AI
How Large Language Models Work: Tokenization, Embeddings, Context Windows, and Text Generation in Artificial Intelligence, AI Systems, and LLMs (Artificial ... the 21st Century)English | 11 May 2026 | ASIN: B0H1DP493Z | 214 pages | EPUB (True) | 1.76 MB
Large language models make it possible to interact with artificial intelligence through natural language, but their operation depends on a complex technical chain: tokenization, numerical identifiers, embeddings, context, attention, and probabilistic generation. Each response is built token by token, under parameters that influence its stability, creativity, and accuracy. Understanding these processes helps users work with LLMs more critically, distinguish fluency from factual truth, and understand why techniques such as RAG, guardrails, validation, and human supervision are essential when the model is integrated into real systems.
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