Name: Generative AI And Large Language Models. Concepts And Architectures (en Inglés)
SKU: 68485673
Price: 841.50 MXN
Availability: InStock
Author: Apurva Vashist
ISBN: 9789379291820

portada Generative AI And Large Language Models. Concepts And Architectures (en Inglés)

Generative AI And Large Language Models. Concepts And Architectures (en Inglés)

Formato

Libro Físico

Editorial

PHI Learning

Autor

Apurva Vashist

Año

2026

Idioma

Inglés

N° páginas

272

Encuadernación

Tapa Blanda

Dimensiones

24x16 cm

ISBN13

9789379291820

Generative AI And Large Language Models. Concepts And Architectures (en Inglés)

Apurva Vashist (Autor) · PHI Learning · Tapa Blanda

Libro Nuevo Importado

Envío: 10 a 15 días háb.

$ 1,402.51$ 841.50

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Última Unidad

$ 841.50

¡Envío Gratis! Llega entre el 23 Sep y el 01 Oct a CUAUHTÉMOC, Ciudad de México. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Generative AI And Large Language Models. Concepts And Architectures (en Inglés)"

Generative AI is a groundbreaking form of artificial intelligence that swiftly creates contest in response to prompts. The book offers a comprehensive and academically structured introduction to Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs). It presents the fundamental concepts, mathematical intuition, and architectural principles behind modern generative AI technologies in a clear and systematic manner. The book covers key topics such as transformers, large language models, prompt engineering, retrieval augmented generation, generative adversarial networks, diffusion models, multimodal AI, vision language models, and synthetic data generation. Rather than focusing on heavy programming or complex implementation, the book emphasizes conceptual understanding, theoretical depth, and system-level thinking, making advanced AI topics accessible to learners and researchers. Through well-organized chapters and structured explanations, the book helps readers understand how generative models learn, generate content, and solve real-world problems across text, image, and multimodal domains. It also discusses evaluation techniques, ethical considerations, bias, and the future directions of generative AI, enabling students to develop a responsible and research-oriented perspective toward AI technologies. Overall, the book builds a strong foundation in the principles and architectures of generative AI systems.

It also discusses evaluation techniques, ethical considerations, bias, and the future directions of generative AI, enabling students to develop a responsible and research-oriented perspective toward AI technologies.