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[null,"1.","Record Nr.",null,"UNINA9910520098503321"]
[null,null,"Autore",null,"Effe Alexandra"]
[null,null,"Titolo",null,"The Autofictional : Approaches, Affordances, Forms / / edited by Alexandra Effe, Hannie Lawlor"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2022"]
[null,null,"ISBN",null,"9783030784409"]
[{"$nulls":4},"3030784401"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xvii, 338 pages) : illustrations"]
[null,null,"Collana",null,"Palgrave Studies in Life Writing, , 2730-9193"]
[null,null,"Classificazione",null,"HIS016000LIT000000LIT006000LIT020000"]
[null,null,"Disciplina",null,"809.382"]
[null,null,"Soggetti",null,"Comparative literature"]
[{"$nulls":4},"Literature - Philosophy"]
[{"$nulls":4},"Literature"]
[{"$nulls":4},"Collective memory"]
[{"$nulls":4},"Comparative Literature"]
[{"$nulls":4},"Literary Theory"]
[{"$nulls":4},"World Literature"]
[{"$nulls":4},"Memory Studies"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1 Introduction: From Autofiction to the Autofictional; Alexandra Effe and Hannie Lawlor -- 2. Five Theses on Autofiction/the Autofictional; Martina Wagner-Egelhaaf -- 3. The Fictional in Autofiction; Alison James -- 4. A Cognitive Perspective on Autofictional Writing, Texts, and Reading; Alexandra Effe and Alison Gibbons -- 5. The Pragmatics of Autofiction; Arnaud Schmitt -- 6. The Autofictional in Serial, Literary Works; Ricarda Menn and Melissa Schuh -- 7. Metanarrative Autofiction: Critical Engagement with Cultural Narrative Models; Hanna Meretoja -- 8. Multilingual Autofiction: Mobilizing Language(s)?; Helle Egendal -- 9. Visual Autofiction: A Strategy for Cultural Inclusion; Karen Ferreira-Meyers and Bontle Tau -- 10. Autofiction, Post-conflict Narratives, and New Memory Cultures; Hywel Dix -- 11. Autofiction as a Lens for Reading Contemporary Egyptian Writing; Hala Kamal, Fatma Atef Massoud, and Zainab Magdy -- 12. Autofiction and Film: Archival Practices in Post-Millennial Documentary Cinema in Argentina and Spain; Anna Forné and Patricia López-Gay -- 13. Autofiction and Shishōsetsu: Women Writers and Reinventing the Self; Justyna Kasza."]
[{"$nulls":4},"-14. Autofiction and the Diary: The Radicalization of Autofiction in works by Hervé Guibert and Christine Angot; Sam Ferguson.-15. Autofiction and Self-Portraiture: Jenny Diski and Claude Cahun; Ben Grant -- 16. Visual Autofiction: A Strategy for Cultural Inclusion Autofiction and Photography: “The Split of the Mirror”; Laura Marcus."]
[null,null,null,"Sommario/riassunto","This open access book offers innovative and wide-ranging responses to the continuously flourishing literary phenomenon of autofiction. The book shows the insights that are gained in the shift from the genre descriptor to the adjective, and from a broad application of “the autofictional” as a theoretical lens and aesthetic strategy. In three sections on “Approaches,” “Affordances,” and “Forms,” the volume proposes new theoretical approaches for the study of autofiction and the autofictional, offers fresh perspectives on many of the prominent authors in the discussion, draws them into a dialogue with autofictional practice from across the globe, and brings into view texts, forms, and media that have not traditionally been considered for their autofictional dimensions. The book, in sum, expands the parameters of research on autofiction to date to allow new voices and viewpoints to emerge."]
[null,"2.","Record Nr.",null,"UNINA9911049088103321"]
[null,null,"Autore",null,"Benedetti Alessandro"]
[null,null,"Titolo",null,"How Large Language Models Can Help Your Search Project / / by Alessandro Benedetti"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025"]
[null,null,"ISBN",null,"3-032-01563-4"]
[null,null,"Edizione",null,"[1st ed. 2025.]"]
[null,null,"Descrizione fisica",null,"1 online resource (213 pages)"]
[null,null,"Collana",null,"Professional and Applied Computing Series"]
[null,null,"Disciplina",null,"025.04"]
[null,null,"Soggetti",null,"Information storage and retrieval systems"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Part I: Large Language Models -- 1. Introduction to Large Language 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."]
[null,null,null,"Sommario/riassunto","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 "]
[{"$nulls":4},"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."]