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A Comprehensive Guide to Leverage Generative AI in the Modern Enterprise KEY FEATURES ● Gain a comprehensive understanding of LLMs within the framework of Generative AI, from foundational concepts to advanced applications. ● Dive into practical exercises and real-world applications, accompanied by detailed code walkthroughs in Python. ● Explore LLMOps with a dedicated focus on ensuring trustworthy AI and best practices for deploying, managing, and maintaining LLMs in enterprise settings. ● Prioritize the ethical and responsible use of LLMs, with an emphasis on building models that adhere to principles of fairness, transparency, and accountability, fostering trust in AI technologies. ...
"This book provides concepts, methodologies, and applications used to design and develop multimodal systems"--Provided by publisher.
This book constitutes the refereed proceedings of the 21 International Conference on Database and Expert Systems Applications, DEXA 2010, held in Bilbao, Spain, August 30 - September 3, 2010. The 45 revised full papers and 36 short papers were carefully reviewed and selected from 197 submissions. The papers are organized in topical sections on Web, Semantics and Ontologies, Information Integration and Process Modeling, Streams and Multimedia Databases, Data Management Algorithms and Performance, Decision Support Systems and Performance, Data Streams, XML Databases, Programming Language and Cooperative Work, Query Processing and Optimization, Data Privacy and Security, Temporal, Spatial, and High Dimensions Databases, Semantic Web and Ontologies.
Information technology is becoming ingrained in our everyday life. The consequence of this is that the line between humans and technology is more and more blurred, and tends to transform the human being into a cyber-organism. This transformation, accompanied by the emergence of Industry 4.0, brings us to define a new term: Human 4.0. This new generation of individuals has to deal with smart interconnected pervasive environments supported by the internet of things. Nevertheless, this merge between humans and technology is not straight-forward and requires an additional effort to reduce the gap between the human being and the machine. Such research implies a multidisciplinary approach to the interaction between biological organisms and artificial artefacts. This book intends to provide the reader with an insight into the new relationship with the technology brought about by Industry 4.0, and how it can make the human-machine interaction more efficient.
This book constitutes the refereed proceedings of the 22 International Conference on Database and Expert Systems Applications, DEXA 2011, held in Toulouse, France, August 29 - September 2, 2011. The 52 revised full papers and 40 short papers presented were carefully reviewed and selected from 207 submissions. The papers are organized in topical sections on query processing; database semantics; skyline queries; security and privacy; spatial and temporal data; semantic web search; storage and search; web search; data integration, transactions and optimization; and web applications.
This two volume set of LNCS 11706 and LNCS 11707 constitutes the refereed proceedings of the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019. The 32 full papers presented together with 34 short papers were carefully reviewed and selected from 157 submissions. The papers are organized in the following topical sections: Part I: Big data management and analytics; data structures and data management; management and processing of knowledge; authenticity, privacy, security and trust; consistency, integrity, quality of data; decision support systems; data mining and warehousing. Part II: Distributed, parallel, P2P, grid and cloud databases; information retrieval; Semantic Web and ontologies; information processing; temporal, spatial, and high dimensional databases; knowledge discovery; web services.