Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	April 2026
Genre:	EDV / Informatik
	AI Assistant / angewandte informatik / Artificial General Intelligence / Artificial Intelligence / Artificial Intelligence Generated Content (AIGC) / ChatGPT, GPT-4 and Claude / Computer and Information Systems Applications / computer science / Generative Agents / Informatik / Interactive NLP / Künstliche Intelligenz / Language Model Society / Large Language Models / LM Agent (Language Model Agent) / machine learning / Maschinelles Lernen / Mathematics of Computing / Mathematik für Informatiker / Natural Language Processing / User Interfaces and Human Computer Interaction mehr...
ISBN:	9783032062635
EAN-Code:	9783032062635
Verlag:	Springer International Publishing
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 240 mm / B 168 mm / D
Seiten:	227
Illustration:	XIV, 227 p. 27 illus., 25 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book addresses the emergence of Interactive Natural Language Processing (iNLP) and its novel paradigm within the field of NLP and discusses the limitations in existing frameworks while aligning with the ultimate goals of artificial intelligence. This paradigm considers language models as agents capable of observing, acting, and receiving feedback iteratively from external entities. The book provides a comprehensive survey of iNLP, starting by proposing a unified definition and framework of the concept. In addition, it provides a systematic classification of iNLP and dissects its various components, including interactive objects, interaction interfaces, and interaction methods. The book then proceeds to delve into the evaluation methodologies used in the field and explores its diverse applications, scrutinizes its ethical and safety issues, and discusses prospective research directions. This work aims to be an entry point for researchers who are interested in this rapidly evolving area and offers a broad view of the current landscape and future trajectory of iNLP.