9798896653196 - the mathematics of large language models: from tokens to transformers, training to decoding di trex, team (7 risultati)

- Brossura
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 31,78
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: New.

- Brossura
Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 33,84
Spedizione gratuitaSpedito in U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 32,43
EUR 4,86 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

- Brossura
- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 31,77
Spedizione gratuitaSpedito in U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. "The Mathematics of Large Language Models: From Tokens to Transformers, Training to Decoding""The Mathematics of Large Language Models" bridges the gap between high-level intuition and rigorous implementation. This book is designed for machine learning engineers, data scientists, and resear…chers who demand a precise mathematical understanding of how modern generative AI functions. By peeling away abstraction layers, we treat the Large Language Model not as a black box, but as a complex probabilistic distribution conditioned on discrete sequence history, requiring a solid grasp of linear algebra and probability theory.The text systematically constructs the Transformer architecture from first principles, exploring the vector space of embeddings, the dynamics of scaled dot-product attention, and the gradient stabilization provided by LayerNorm and residual connections. Readers will master the derivation of the Maximum Likelihood Estimation objective used in pre-training and analyze the mechanics of inference strategies, including Nucleus and Top-k sampling. Every chapter reinforces the connection between theoretical formulas and their practical execution in code-ready logic.Distinguishing itself through depth, this volume avoids superficial analogies in favor of exact definitions and numerical walkthroughs. From the entropy of subword tokenization to the arithmetic of the softmax transformation, the book provides a complete mathematical synthesis. It is the essential reference for those seeking to understand the deterministic operations that give rise to stochastic creat This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 37,90
EUR 43,24 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. "The Mathematics of Large Language Models: From Tokens to Transformers, Training to Decoding""The Mathematics of Large Language Models" bridges the gap between high-level intuition and rigorous implementation. This book is designed for machine learning engineers, data scientists, and resear…chers who demand a precise mathematical understanding of how modern generative AI functions. By peeling away abstraction layers, we treat the Large Language Model not as a black box, but as a complex probabilistic distribution conditioned on discrete sequence history, requiring a solid grasp of linear algebra and probability theory.The text systematically constructs the Transformer architecture from first principles, exploring the vector space of embeddings, the dynamics of scaled dot-product attention, and the gradient stabilization provided by LayerNorm and residual connections. Readers will master the derivation of the Maximum Likelihood Estimation objective used in pre-training and analyze the mechanics of inference strategies, including Nucleus and Top-k sampling. Every chapter reinforces the connection between theoretical formulas and their practical execution in code-ready logic.Distinguishing itself through depth, this volume avoids superficial analogies in favor of exact definitions and numerical walkthroughs. From the entropy of subword tokenization to the arithmetic of the softmax transformation, the book provides a complete mathematical synthesis. It is the essential reference for those seeking to understand the deterministic operations that give rise to stochastic creat This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 42,50
EUR 61,37 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

- Brossura
- Print on Demand
Da: preigu, Osnabrück, Germaniapreigu
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 42,05
EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. The Mathematics of Large Language Models | From Tokens to Transformers, Training to Decoding | Team Trex | Taschenbuch | Englisch | 2026 | NobleTrex Press | EAN 9798896653196 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu P…rint on Demand.