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1. |
Record Nr. |
UNICAMPANIAVAN0052523 |
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Autore |
Margaris, Angelo |
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Titolo |
First order mathematical logic / by Angelo Margaris |
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Pubbl/distr/stampa |
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ISBN |
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Descrizione fisica |
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Soggetti |
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03-XX - Mathematical logic and foundations [MSC 2020] |
03Bxx - General logic [MSC 2020] |
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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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2. |
Record Nr. |
UNINA9910983377403321 |
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Autore |
Marcondes Francisco S |
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Titolo |
Natural Language Analytics with Generative Large-Language Models : A Practical Approach with Ollama and Open-Source LLMs / / by Francisco S. Marcondes, Adelino Gala, Renata Magalhães, Fernando Perez de Britto, Dalila Durães, Paulo Novais |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 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 (117 pages) |
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Collana |
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SpringerBriefs in Computer Science, , 2191-5776 |
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Altri autori (Persone) |
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GalaAdelino |
MagalhãesRenata |
Perez de BrittoFernando |
DurãesDalila |
NovaisPaulo |
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Disciplina |
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Soggetti |
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Natural language processing (Computer science) |
Artificial intelligence - Data processing |
Artificial intelligence |
Business - Data processing |
Computational linguistics |
Machine learning |
Natural Language Processing (NLP) |
Data Science |
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Artificial Intelligence |
Business Analytics |
Computational Linguistics |
Machine Learning |
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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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Introduction -- Natural Language Analytics -- Using Ollama -- Generative Prompt Engineering -- Case Study: LLM-based Anxiety Climate Index -- Conclusion. |
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Sommario/riassunto |
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This book explores the application of generative Large Language Models (LLMs) for extracting and analyzing data from natural language artefacts. Unlike traditional uses of LLMs, such as translation and summarization, this book focuses on utilizing these models to convert unstructured text into data that can be processed through the data science pipeline to generate actionable insights. The content is designed for professionals in diverse fields including cognitive science, linguistics, management, and information systems. It combines insights from both industry and academia to provide a comprehensive understanding of how LLMs can be effectively used for natural language analytics (NLA). The book details practical methodologies for implementing LLMs locally using open-source tools, ensuring data privacy and feasibility without the need for expensive infrastructure. Key topics include interpretant, mindset and cultural analysis, emphasizing the use of LLMs to derive soft data—qualitative information crucial for nuanced decision-making. The text also outlines the technical aspects of LLMs, including their architecture, token embeddings, and the differences between encoder-based and decoder-based models. By providing a case study and practical examples, the authors show how LLMs can be used to meet various analytical needs, making this book a valuable resource for anyone looking to integrate advanced natural language processing techniques into their data analysis workflows. |
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3. |
Record Nr. |
UNINA9910958728603321 |
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Autore |
Saporito Thomas J. <1952-> |
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Titolo |
Inside CEO succession : the essential guide to leadership transition / / by Tom Saporito & Paul Winum |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley, c2012 |
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ISBN |
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9786613886576 |
9781118218020 |
1118218027 |
9781283574129 |
1283574128 |
9781118218013 |
1118218019 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (255 p.) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Executive succession |
Chief executive officers |
Directors of corporations |
Executives - Selection and appointment |
Management |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Why CEO succession is more critical than ever -- From checkers to 3-D chess -- Success or failure : the cause and cost -- Whose job is it anyway? -- RHR's essential point of view -- The 10 key dimensions of effective succession -- Establish board ownership, involvement, and oversight -- Set succession timeframes -- Prepare for emergencies -- Align on strategy and profile -- Build the talent pipeline -- Source external talent and manage search firms -- Select the CEO -- Proactively manage the transition -- Measure performance and improve process -- Manage the dynamics in CEO succession -- Epilogue : perspectives on the future. |
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Sommario/riassunto |
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A comprehensive guide to planning for CEO succession, from the experts at RHR As the demands from stakeholders for consummate |
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leadership and good governance from a company's board of directors, its CEO, and its executive team increase, how the process of CEO succession is carried out has become more critical than ever before. Yet, over the past several years, a growing number of CEOs have failed early in their terms, often with devastating consequences to their companies and stockholders. By far the most common problem is a lack of ownership of the CEO succession process. Inside CE |
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