Large Language Models (LLM) – 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 13.2.2026.

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The Future of Teaching Law and Language

How can legal education adapt to technological change, growing multilingualism, and the demand for inclusivity? This volume gathers innovative perspectives from leading international scholars and practiti…

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Karol Przystalski, Jan K. Argasi¿ski, Natalia Lipp, Dawid Pacholczyk
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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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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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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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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Tyler Suard
Enterprise Rag

Free PDF and epub formats plus online reader with AI assistant.Retrieval Augmented Generation, or RAG, is the gold standard for using domain-specific data, such as internal documentation or company databa…

lieferbar ab 28.4.2026.

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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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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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Nicole Koenigstein
Transformers in Action

Understand the architecture that underpins today's most powerful AI models.Transformers are the superpower behind large language models (LLMs) like ChatGPT, Gemini, and Claude. Transformers in Action give…

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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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Leslie F. Sikos
Generative AI 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…

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Diana Garcia Quevedo, Josue Kuri
AI for Qualitative Research

This open access book will guide qualitative researchers in the social sciences with little to no coding experience in leveraging large language models (LLMs). Responding to a lack of instructional materi…

lieferbar ab 17.2.2026.

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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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Yosef Grodzinsky
How Deeply Human Is Language?

A leading neurolinguist explains linguistic theory and large language models---the top contenders for understanding human language---and evaluates them in the context of the brain.Contemporary linguistics…

lieferbar ab 21.4.2026.

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

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…

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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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