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1. |
Record Nr. |
UNINA9910452313203321 |
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Autore |
Crowell Ellen |
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Titolo |
The dandy in Irish and American southern fiction : aristocratic drag / / Ellen Crowell [[electronic resource]] |
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Pubbl/distr/stampa |
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Edinburgh : , : Edinburgh University Press, , 2007 |
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ISBN |
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0-7486-5205-1 |
1-281-25199-2 |
9786611251994 |
0-7486-3101-1 |
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Descrizione fisica |
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1 online resource (ix, 205 pages) : digital, PDF file(s) |
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Collana |
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Edinburgh studies in transatlantic literatures |
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Disciplina |
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Soggetti |
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Dandies in literature |
English fiction - Irish authors - History and criticism |
English fiction - 19th century - History and criticism |
English fiction - 20th century - History and criticism |
American fiction - Southern States - History and criticism |
American fiction - 19th century - History and criticism |
American fiction - 20th century - History and criticism |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 02 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references (p. [189]-200) and index. |
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Nota di contenuto |
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COVER; COPYRIGHT; Contents; Illustrations; Acknowledgements; Introduction; 1. Oaks, Serpents and Dandies; 2. The Picture of Charles Bon; 3. Ferocious Beauty; Epilogue; Works Cited and Consulted; Index |
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Sommario/riassunto |
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This book identifies and interprets the longstanding transatlantic dialogue between the literary imaginations of Anglo-Ireland and the Anglo-American South. |
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2. |
Record Nr. |
UNISALENTO991001235339707536 |
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Autore |
Bliedtner, Jurgen |
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Titolo |
Potential theory : an analytic and probabilistic approach to balayage / Jurgen Bliedtner, Wolfhand Hansen |
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Pubbl/distr/stampa |
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Berlin : Springer-Verlag, c1986 |
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ISBN |
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Descrizione fisica |
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Collana |
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Classificazione |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Potential theory (Mathematics) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Includes indexes. |
Bibliography: p. [414]-428 |
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3. |
Record Nr. |
UNINA9911021144803321 |
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Autore |
Ranjan Sumit |
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Titolo |
Agentic AI in Enterprise : Harnessing Agentic AI for Business Transformation / / by Sumit Ranjan, Divya Chembachere, Lanwin Lobo |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (267 pages) |
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Collana |
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Professional and Applied Computing Series |
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Altri autori (Persone) |
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ChembachereDivya |
LoboLanwin |
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Disciplina |
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Soggetti |
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Artificial intelligence - Industrial applications |
Business enterprises - Technological innovations |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1: Introduction to Enterprise Agentic AI -- Chapter 2: Designing with the Well-Architected Agentic AI Framework -- Chapter 3: Architectural Patterns for LLM Adoption in Agentic AI -- Chapter 4: Enhancing LLMs for Agentic AI: RAG vs. Fine-Tuning -- Chapter 5: Mastering Prompt Engineering in Enterprise Agentic AI -- Chapter 6: Vector Databases in AI Applications in Enterprise Agentic AI -- Chapter 7: Ethical and Security Considerations in Enterprise Agentic AI -- Chapter 8: Case Studies: Agentic AI - Real-World Applications -- Chapter 9: AI AGENTS- Future Trends in Enterprise AI -- Chapter 10: Conclusion – The Age of Enterprise Agentic AI. |
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Sommario/riassunto |
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This book delves into the transformative power of Enterprise Agentic AI, tracing its evolution from basic automation to intelligent agents capable of contextual reasoning, memory retention, and autonomous decision-making. It provides a strategic roadmap for enterprises looking to integrate Agentic AI seamlessly into their operations while ensuring scalability, efficiency, and security. Readers will explore architectural best practices, including cloud, hybrid, and on-premises deployment models, and gain insights into LLM optimization strategies like Retrieval-Augmented Generation (RAG) and fine-tuning. The book also covers advanced prompt engineering techniques, the role of vector databases in AI-driven applications, and governance frameworks to ensure ethical, transparent, and responsible AI adoption. Through real- |
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world case studies, the book illustrates AI’s impact across retail, healthcare, supply chain management, and customer engagement. It also examines the next wave of AI advancements, such as autonomous decision-making, AI-augmented leadership, and the evolving synergy between human expertise and intelligent agents in enterprise settings. By the end of this book, readers will have the knowledge and tools to design, deploy, and manage AI agents that are not only cutting-edge but also aligned with enterprise security, governance, and ethical standards. You Will: Understand how AI agents go beyond traditional models by incorporating contextual reasoning, long-term memory, and autonomous decision-making to enhance enterprise operations. Explore scalable deployment models (cloud, hybrid, on-premises) and best practices for integrating LLMs, vector databases, and prompt engineering into your AI workflows. Develop robust AI governance frameworks, conduct risk assessments, and implement security protocols to safeguard enterprise data while ensuring responsible AI adoption. Gain insights into transparency, accountability, and fairness in AI deployments, ensuring AI agents align with corporate values and global ethical standards. |
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