Large-Language Models – alle Bücher und CDs, Seite 6

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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Roi Yehoshua
Machine Learning Foundations

The Essential Guide to Machine Learning in the Age of AIMachine learning stands at the heart of today's most transformative technologies: advancing scientific discovery, reshaping industries, and transfor…

lieferbar ab 7.2.2026.

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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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Big Data and Social Computing

This book constitutes the refereed proceedings of the 10th China National Conference on Big Data and Social Computing, BDSC 2025, held in Kunming, China, during August 15--17, 2025.The 40 full papers incl…

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Database and Expert Systems Applications

.- Industrial Keynote..- From Data Silos to Data Mesh: A Case Study in Financial Data Architecture..- Invited Talk..- Blending Contextual Data with Heterogeneous Time Dimensions for Improved Time Series A…

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Shaila Rana
Generative AI Security

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utilityGenerative AI Security: Defense, Threats, and Vulnerabilitiesdelivers a technica…

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Software Architecture

.- Architectures for MLOps..- An Approach for Integrated Development of an MLOps Architecture..- MLOps in Practice: Requirements and a Reference Architecture from Industry..- HarmonE: A Self-Adaptive Appr…

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Detection of Intrusions and Malware, and Vulnerability Assessment

.- AI/ML & Security..- Towards Explainable Drift Detection and Early Retrain in ML-based Malware Detection Pipelines..- InferONNX: Practical and Privacy-preserving Machine Learning Inference using Tru…

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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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Linking Theory and Practice of Digital Libraries

This book constitutes the refereed proceedings of the 29th International Conference on Theory and Practice of Digital Libraries on Linking Theory and Practice of Digital Libraries, TPDL 2025, held in Tamp…

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Computational Science and Computational Intelligence

The CCIS book constitutes selected papers accepted in the Research Track on Artificial Intelligence of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024,…

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Producing Artificial Intelligent Systems

The fast development of intelligent technologies in the previous years, their boost during the COVID crisis, and their huge acceleration with the proliferation of the Large Language Models has led industr…

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Computer Security - ESORICS 2025

.- Time-Distributed Backdoor Attacks on Federated Spiking Learning. .- TATA: Benchmark NIDS Test Sets Assessment and Targeted Augmentation. .- Abuse-Resistant Evaluation of AI-as-a-Service via Function-Hi…

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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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Anat Ninio
Computing the Sentence

Developmental research is abandoning formal syntax, probably because Chomskyan generative syntax lacks psychological reality. Some studies opt for pure statistics-based definitions of syntactic knowledge,…

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François Chollet, Tomasz Kalinowski
Deep Learning with R, Third Edition

Deep learning from the ground up using R and the powerful Keras library!Deep Learning with R, Third Edition introduces deep learning from scratch with examples that use the R language and the Keras librar…

lieferbar ab 24.3.2026.

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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

A textbook applying fundamental seismology theories to the latest computational toolsThe goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these …

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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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Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom

This book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education. ChatGPT is a…

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