Large Language Models (LLMs) have become a central technology of modern AI — yet most explanations remain either overly technical, vague, or buried under metaphors.
This book offers a clear and rigorous introduction to how LLMs actually work, using only standard school-level mathematics and avoiding misleading simplifications. It answers the questions that many tutorials skip: how neural networks can perform prediction, why pattern-matching scores can be interpreted as probabilities, what embeddings really represent, and what the Query–Key–Value mechanism is truly doing inside a Transformer.
Starting from the early Bengio-style neural language model, the book gradually builds up the essential concepts — forward neural networks, feature recognition, logits, softmax, gradient descent — before reaching the Transformer architecture and its attention mechanism.
Written for curious readers without a machine-learning background, this is an accessible but faithful journey into the foundations of today’s language models.
If you want to understand LLMs without handwaving, buzzwords, or empty metaphors, this book is for you.
"Sinopsis" puede pertenecer a otra edición de este libro.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 53707321-n
Cantidad disponible: Más de 20 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Print on Demand. Nº de ref. del artículo: I-9798248763696
Cantidad disponible: Más de 20 disponibles
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798248763696
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 53707321
Cantidad disponible: Más de 20 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. Large Language Models (LLMs) have become a central technology of modern AI - yet most explanations remain either overly technical, vague, or buried under metaphors.This book offers a clear and rigorous introduction to how LLMs actually work, using only standard school-level mathematics and avoiding misleading simplifications. It answers the questions that many tutorials skip: how neural networks can perform prediction, why pattern-matching scores can be interpreted as probabilities, what embeddings really represent, and what the Query-Key-Value mechanism is truly doing inside a Transformer.Starting from the early Bengio-style neural language model, the book gradually builds up the essential concepts - forward neural networks, feature recognition, logits, softmax, gradient descent - before reaching the Transformer architecture and its attention mechanism.Written for curious readers without a machine-learning background, this is an accessible but faithful journey into the foundations of today's language models.If you want to understand LLMs without handwaving, buzzwords, or empty metaphors, this book is for you. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798248763696
Cantidad disponible: 1 disponibles
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798248763696
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: New. Nº de ref. del artículo: 53707321-n
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 53707321
Cantidad disponible: Más de 20 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. Large Language Models (LLMs) have become a central technology of modern AI - yet most explanations remain either overly technical, vague, or buried under metaphors.This book offers a clear and rigorous introduction to how LLMs actually work, using only standard school-level mathematics and avoiding misleading simplifications. It answers the questions that many tutorials skip: how neural networks can perform prediction, why pattern-matching scores can be interpreted as probabilities, what embeddings really represent, and what the Query-Key-Value mechanism is truly doing inside a Transformer.Starting from the early Bengio-style neural language model, the book gradually builds up the essential concepts - forward neural networks, feature recognition, logits, softmax, gradient descent - before reaching the Transformer architecture and its attention mechanism.Written for curious readers without a machine-learning background, this is an accessible but faithful journey into the foundations of today's language models.If you want to understand LLMs without handwaving, buzzwords, or empty metaphors, this book is for you. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798248763696
Cantidad disponible: 1 disponibles