Name: Challenges and Applications of Generative Large Language Models
SKU: 65599697
Price: 5862.00 TWD
Availability: InStock
Author: Anitha S. Pillai;Vincenzo, Ph.D. Scotti;Roberto, Ph.D. Tedesco
ISBN: 9780443335921

portada Challenges and Applications of Generative Large Language Models

Challenges and Applications of Generative Large Language Models

Type

Physical Book

Publisher

Morgan Kaufmann Publishers In

Author

Anitha S. Pillai;Vincenzo, Ph.D. Scotti;Roberto, Ph.D. Tedesco

Year

2026

Pages

270

Format

Paperback

Dimensions

23.5x19.1 cm

ISBN13

9780443335921

Challenges and Applications of Generative Large Language Models

Anitha S. Pillai;Vincenzo, Ph.d. Scotti;Roberto, Ph.d. Tedesco (Author) · Morgan Kaufmann Publishers In · Paperback

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Synopsis "Challenges and Applications of Generative Large Language Models"

Large Language Models (LLMs) are a form of generative AI, based on Deep Learning, that rely on very large textual datasets, and are composed of hundreds of millions (or even billions) of parameters. LLMs can be trained and then refined to perform several NLP tasks like generation of text, summarization, translation, prediction, and more. Challenges and Applications of Generative Large Language Models assists readers in understanding LLMs, their applications in various sectors, challenges that need to be encountered while developing them, open issues, and ethical concerns. LLMs are just one approach in the huge set of methodologies provided by AI. The book, describing strengths and weaknesses of such models, enables researchers and software developers to decide whether an LLM is the right choice for the problem they are trying to solve. AI is the new buzzword, in particular Generative AI for human language (LLMs). As such, an overwhelming amount of hype is obfuscating and giving a distorted view about AI in general, and LLMs in particular. Thus, trying to provide an objective description of LLMs is useful to any person (researcher, professional, student) who is starting to work with human language. The risk, otherwise, is to forget the whole set of methodologies developed by AI in the last decades, sticking with only one model which, although very powerful, has known weaknesses and risks. Given the high level of hype around such models, Challenges and Applications of Generative Large Language Models (LLMs) enables readers to clarify and understand their scope and limitations.