Mathematics of LLMs Made Simple: Algorithms That Power LLMs, Explained in Everyday Language (Advanced Mathematics in Everyday Language Book 3) Publisher's Summary
This is a guided tour of the mathematics, engineering, and trade-offs behind large language models, all explained in everyday language for everyone. Learn how LLMs truly work, behind the scenes.
This is for everyone, irrespective of whether you have a background in computer science or not.
You will learn how LLMs turn text into tokens, tokens into probabilities, and probabilities into coherent language.. The audio book covers information theory, entropy, n-gram models, Byte Pair Encoding, embeddings, transformers, fine-tuning, and inference. We explain why scale improves performance, why overfitting wrecks reliability, how memory extends context, and how multimodal systems connect words with images, audio, and video.
If you can foresee AI impacting a part of life, you need to know how AI really works.
©2026 The Turing App (P)2026 The Turing App
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