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1. |
Record Nr. |
UNISA996397607703316 |
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Titolo |
Hore beatissime virginis Marie [[electronic resource] ] : ad legitimu[m] Sarisburiensis ecclesie ritum, cum quindecim orationibus beate Brigitte, ac multis alijs orationibus pulcherrimis, et indulgentijs, cum tabula aptissima iam vltimo adiectis |
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Pubbl/distr/stampa |
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[Impresse Parisius, : Per Fra[n]ciscu[m] Regnault : impe[n]sis [and] sumptibus eiusde[m] alme vniuersitatis Parisien. librarij iurati.] Venu[n]dat Parisius a Fra[n]cisco Regnault in vico scti Iacobi, sub signo Elephantis, [Anno d[omi]ni millesimo q[ui]ngentesimo vigesimo sexto. Die vero .i. Martij.] [1526] |
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Descrizione fisica |
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[25], cxcvi, [4] leaves : ill |
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Soggetti |
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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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Printer's name and publication date from colophon. |
Printed in red and black. |
Includes index. |
British Library fragment formerly STC 15942 and identified by that number on UMI microfilm, reel 113. |
Imperfect; the Bodleian Library copy is lacking numerous leaves scattered throughout; several leaves torn. The British Library copy is a fragment. |
Reproductions of the originals in the Bodleian Library and the British Library. |
Appears at reel 373 (Bodleian Library copy) and at reel 113 (British Library copy). |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910689799203321 |
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Titolo |
Oversight hearing on the Surface Transportation Board : hearing before the Subcommittee on Surface Transportation and Merchant Marine of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Seventh Congress, first session, March 21, 2001 |
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Descrizione fisica |
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1 online resource (iii, 27 p.) |
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Soggetti |
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Railroads - Mergers - United States |
Railroads - Freight - Rates - United States |
Collective bargaining - Railroads - United States |
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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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3. |
Record Nr. |
UNINA9911049088103321 |
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Autore |
Benedetti Alessandro |
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Titolo |
How Large Language Models Can Help Your Search Project / / by Alessandro Benedetti |
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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 (213 pages) |
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Collana |
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Professional and Applied Computing Series |
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Disciplina |
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Soggetti |
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Information storage and retrieval systems |
Artificial intelligence |
Information Storage and Retrieval |
Artificial Intelligence |
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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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Part I: Large Language Models -- 1. Introduction to Large Language |
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Models -- 2. The Open Source Landscape -- 3. The Commercial Landscape -- Part II: Large Language Models and Search -- 4. Applying Large Language Models to Search -- 5. What Large Language Model Is the Best for You? -- 6. Rabbit Holes -- Part III: How to Use Open Source Software to Interact with Large Language Models -- 7. Open Source Frameworks and Projects -- 8. Popular Open Source Search Engines. |
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Sommario/riassunto |
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The primary scope of this book is to communicate the current state of the art of large language model applications in the domain of information retrieval and search with a pragmatic perspective on industrial adoption via open source software. To this end, the book is organised in three parts: “Large Language Models” gives an introduction to artificial intelligence and large language models, including an overview of open source and commercial options. Next, “Large Language Models and Search” describes techniques and strategies to integrate large language models in search projects, including how to choose the right model for a specific use case and how to avoid the classic mistakes that can happen in the process. Eventually, “How to Use Open Source Software to Interact with Large Language Models” gives an overview of open source technologies to interact with large language models and gives a detailed survey of how the most popular open source search engines support them. The book lays the foundations, deeply analyses the building blocks and shows examples how to implement the ideas described. It highlights both the positives, negatives and possible mitigations of the limitations. This way, it caters primarily software engineers, data scientists and practitioners in artificial intelligence or information retrieval who are curious to learn about the latest trends, research and industrial applications related to search and large language models. |
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