Large Language Models (LLMs) – alle Bücher, Seite 3

GenAI and LLMs for Beyond 5G Networks

Beyond 5G and 6G Networks, the AI-Native Revolution explores the transformative convergence of generative artificial intelligence (GenAI), large language models (LLMs), and next-generation telecommunicati…

lieferbar ab 20.12.2025.

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Karol Przystalski, Dawid Pacholczyk, Natalia Lipp, Jan K. Argasi¿ski
Building Personality-Driven Language Models

This book provides an innovative exploration into the realm of artificial intelligence (AI) by developing personalities for large language models (LLMs) using psychological principles. Aimed at making AI …

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Computational Intelligence Methods for Bioinformatics and Biostatistics

This volume LNCS 15276 constitutes the revised selected papers of the 19th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2024, held in Benevento, I…

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Advanced Technologies and the University of the Future

This book offers a comprehensive framework, compiling solutions and evidence from various sections that illustrate how technology can shape both the learning experience and the organizational structure of…

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Generative AI and LLMs

Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing c…

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Leif Weatherby
Language Machines

How generative AI systems capture a core function of languageLooking at the emergence of generative AI, Language Machines presents a new theory of meaning in language and computation, arguing that humanis…

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National Academy of Medicine, The Learning Health System Series,
Generative Artificial Intelligence in Health and Medicine

The integration of large language models (LLMs) and generative artificial intelligence (AI) in health care holds the potential to transform the practice of medicine, the work and experiences of health car…

lieferbar ab 10.1.2026.

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Zvi Lotker
History by Algorithms

This book offers a first step towards getting machines to understand history in terms of analysing historical narratives. It uses computational intelligence and history texts as keys to ask different ques…

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Pankaj Jalote
A Concise Introduction to Software Engineering

Software engineering has changed: A software project today is likely to use large language models (LLMs) for some tasks and will employ some open-source software. It is therefore important to integrate op…

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Leslie Frank Sikos
Generative AI in Cybersecurity

SpringerBriefs in Cybersecurity

This book explores the most common generative AI (GenAI) tools and techniques used by malicious actors for hacking and cyber-deception, along with the security risks of large language models (LLMs). It al…

lieferbar ab 7.12.2025.

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Aditya Sood
Combating Cyberattacks Targeting the AI Ecosystem

This book explores in detail the AI-driven cyber threat landscape, including inherent AI threats and risks that exist in Large Language Models (LLMs), Generative AI applications, and the AI infrastructure…

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Matthew Buskell
Become an AI Prompt Ninja

Large Language Models (LLMs) are revolutionizing the business world, but their true power lies in the hands of those who can wield them effectively. "Becoming an AI Prompt Ninja" is your essenti…

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Nitin Borwankar
Vector Databases

The AI revolution is here, and at its core lies a game-changing technology that most developers haven't fully explored: vector databases. From powering semantic search to enabling large language models (L…

lieferbar ab 31.3.2026.

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Enhancing LLM Performance

This book is a pioneering exploration of the state-of-the-art techniques that drive large language models (LLMs) toward greater efficiency and scalability. Edited by three distinguished experts---Peyman P…

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Katsushi Ikeuchi, Naoki Wake, Jun Takamatsu, Kazuhiro Sasabuchi
Learning-from-Observation 2.0

Synthesis Lectures on Computer Vision

This book presents recent breakthroughs in the field of Learning-from-Observation (LfO) resulting from advancement in large language models (LLM) and reinforcement learning (RL) and positions it in the co…

lieferbar ab 30.11.2025.

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Jim Dowling
Building Machine Learning Systems with a Feature Store

Get up to speed on a new unified approach to building machine learning (ML) systems with batch data, real-time data, and large language models (LLMs) based on independent, modular ML pipelines and a share…

lieferbar ab 30.11.2025.

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Allen B. Downey
Think Python

Python is an excellent way to get started in programming, and this clear, concise guide walks you through Python a step at a time--beginning with basic programming concepts before moving on to functions, …

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Bio-Inspired Computing

This book presents 53 selected papers focused on Deep Learning and Large Language Models from the 14th International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA 2023) and 1…

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Nicole Koenigstein
Transformers in Action

Take a deep dive into Transformers and Large Language Models---the foundations of generative AI!Generative AI has set up shop in almost every aspect of business and society. Transformers and Large Languag…

lieferbar ab 28.10.2025.

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Greg Loughnane, Chris Alexiuk
The AI Engineering Bootcamp

An up-to-date and hands-on tutorial for building production-grade LLM applicationsIn The AI Engineering Bootcamp: Build, Ship, Share, AI Makerspace co-founders "Dr. Greg" Loughnane and Chris &qu…

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