-
Noever, D.; Ciolino, M.: ¬The Turing deception (2022)
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- Source
- https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
-
¬Der Student aus dem Computer (2023)
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- Abstract
- Kann gut zitieren, aber schlecht rechnen: Künstliche Intelligenz besteht Juraprüfung an US-Uni
- Date
- 27. 1.2023 16:22:55
-
Hartnett, K.: Sind Sprachmodelle bald die besseren Mathematiker? (2023)
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- Series
- Künstliche Intelligenz
-
Schönbächler, E.; Strasser, T.; Himpsl-Gutermann, K.: Vom Chat zum Check : Informationskompetenz mit ChatGPT steigern (2023)
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- Abstract
- Der Beitrag greift den aktuellen Diskurs um die KI-Anwendung ChatGPT und deren Bedeutung in Schule und Hochschule auf. Dabei werden durch einen Überblick über verschiedene Assistenzsysteme, die auf Künstlicher Intelligenz beruhen, Grundlagen und Unterschiede herausgearbeitet. Der Bereich der Chatbots wird näher beleuchtet, die beiden grundlegenden Arten des regelbasierten Chatbots und des Machine Learning Bots werden anhand von anschaulichen Beispielen praxisnah erklärt. Schließlich wird herausgearbeitet, dass Informationskompetenz als Schlüsselkompetenz des 21. Jahrhunderts auch die wesentliche Grundlage dafür ist, im Bildungsbereich konstruktiv mit KI-Systemen wie ChatGPT umzugehen und die wesentlichen Funktionsmechanismen zu verstehen. Ein Unterrichtsentwurf zum Thema "Biene" schließt den Praxisbeitrag ab.
-
Leighton, T.: ChatGPT und Künstliche Intelligenz : Utopie oder Dystopie? (2023)
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- Source
- https://www.heise.de/tp/features/ChatGPT-und-Kuenstliche-Intelligenz-Utopie-oder-Dystopie-7445181.html?view=print
-
Müller, P.: Text-Automat mit Tücken (2023)
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- Abstract
- Ein Coputerprogramm erstaunt derzeit viele Menschen: ChatGPT zeigt, was künstliche Intelligenz zu leisten vermag - und welche Risiken die Technologie mit sich bringt.
-
Schneider, R.U.: Darf der Computer die Seminararbeit schreiben? (2023)
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- Abstract
- Fast alle Studenten lassen sich bei schriftlichen Arbeiten von künstlicher Intelligenz helfen. Manche halten das für Betrug, andere für die Zukunft der Bildung.
-
Lobo, S.: ¬Das Ende von Google, wie wir es kannten : Bessere Treffer durch ChatGPT (2022)
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- Abstract
- Höchste Alarmstufe bei der weltgrößten Suchmaschine: Mit ChatGPT und künstlicher Intelligenz könnte eine neue Ära beginnen.
-
Szöke, D.: ChatGPT : wie Sie die KI ausprobieren können (2022)
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- Abstract
- Wo Sie sich anmelden können, wie Sie mit der künstlichen Intelligenz interagieren können und worauf Sie achten sollten.
- Content
- ChatGPT ist ein KI-Chatbot, der menschliche Texteingaben verstehen und möglichst natürlich antworten soll - und für ziemlich viel Begeisterung im Netz sorgt. Jeder kann mit der "künstlichen Intelligenz" einen Dialog führen oder sie um passenden Code oder ein paar launig klingende Gedichtzeilen bitten. Ausprobieren können Sie das kostenlos - wir zeigen Ihnen, wie das geht. Account einrichten ChatGPT wird auf der OpenAI-Website angeboten - allerdings nur für registrierte Nutzer. Um einen OpenAI-Account zu erstellen, muss man eine E-Mail-Adresse und eine Handynummer angeben, gegebenenfalls müssen Sie noch ein Captcha lösen. Die E-Mail-Adresse noreply@tm.openai.com sendet einen Verifizierungslink, welcher Sie zurück zur Website und zum nächsten Schritt führt. Nach der Auswahl des Benutzernamens müssen Sie nur noch den Nutzungsbedingungen zustimmen und eine Verifizierung über die Handynummer vornehmen. Letztere passiert über das Zusenden eines sechsstelligen Bestätigungs-Codes.
-
Bischoff, M.: Wie eine KI lernt, sich selbst zu erklären (2023)
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- Series
- IT Tech / Künstliche Intelligenz
-
Geißler, S.: Natürliche Sprachverarbeitung und Künstliche Intelligenz : ein wachsender Markt mit vielen Chancen. Das Beispiel Kairntech (2020)
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- Abstract
- Vor rund einem Jahr haben wir an dieser Stelle die aufregende Dynamik auf den Gebieten der Natürlichen Sprachverarbeitung (NLP) und der Künstlichen Intelligenz (KI) beschrieben: Seit einigen Jahren sorgen Fortschritte in den algorithmischen Grundlagen, in der einsetzbaren Rechenleistung sowie in der Verfügbarkeit von großen Datenmengen für immer leistungsfähigere Systeme. NLP-Anwendungen seien damit mehr denn je reif für den praktischen Einsatz, hatten wir argumentiert. Diese Entwicklung verfolgen wir bei Kairntech nicht allein als interessierte Beobachter, sondern sie stellt die Grundlage unserer Arbeit dar, mit der wir NLP- und KI-Ansätze zur Anwendung auf konkreten geschäftskritischen Prozessen entwickeln und einsetzen. Experten gehen auch für die kommenden Jahre von einem anhaltenden Wachstum des weltweiten Marktes für NLP aus: Mit einem durchschnittlichen Wachstum von über 20 Prozent pro Jahr werde der Markt bis 2025 auf geschätzte 6,24 Milliarden US-$ anwachsen. Im Bereich der Forschung ist das Wachstum sogar noch stürmischer: So ist die Zahl der Einreichungen zur ACL-Konferenz, dem vielleicht wichtigsten jährlichen Event in diesem Gebiet, von 2018 bis 2019 um ganze 75 Prozent angestiegen. Im vorliegenden Text wollen wir die Richtung, die wir bei Kairntech mit der Gründung vor einem Jahr eingeschlagen haben, beschreiben sowie von ersten Erfolgen auf diesem Weg berichten.
-
Weßels, D.: ChatGPT - ein Meilenstein der KI-Entwicklung (2022)
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- Series
- Lehre: Künstliche Intelligenz
-
Roose, K.: ¬The brilliance and weirdness of ChatGPT (2022)
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-
Morris, V.: Automated language identification of bibliographic resources (2020)
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- Date
- 2. 3.2020 19:04:22
-
Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023)
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- Date
- 29.12.2022 18:22:55
-
Rieger, F.: Lügende Computer (2023)
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- Date
- 16. 3.2023 19:22:55
-
Janssen, J.-K.: ChatGPT-Klon läuft lokal auf jedem Rechner : Alpaca/LLaMA ausprobiert (2023)
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-
Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024)
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- Abstract
- Detecting science-technology hierarchical linkages is beneficial for understanding deep interactions between science and technology (S&T). Previous studies have mainly focused on linear linkages between S&T but ignored their structural linkages. In this paper, we propose a network coupling approach to inspect hierarchical interactions of S&T by integrating their knowledge linkages and structural linkages. S&T knowledge networks are first enhanced with bidirectional encoder representation from transformers (BERT) knowledge alignment, and then their hierarchical structures are identified based on K-core decomposition. Hierarchical coupling preferences and strengths of the S&T networks over time are further calculated based on similarities of coupling nodes' degree distribution and similarities of coupling edges' weight distribution. Extensive experimental results indicate that our approach is feasible and robust in identifying the coupling hierarchy with superior performance compared to other isomorphism and dissimilarity algorithms. Our research extends the mindset of S&T linkage measurement by identifying patterns and paths of the interaction of S&T hierarchical knowledge.
-
Andrushchenko, M.; Sandberg, K.; Turunen, R.; Marjanen, J.; Hatavara, M.; Kurunmäki, J.; Nummenmaa, T.; Hyvärinen, M.; Teräs, K.; Peltonen, J.; Nummenmaa, J.: Using parsed and annotated corpora to analyze parliamentarians' talk in Finland (2022)
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Al-Khatib, K.; Ghosa, T.; Hou, Y.; Waard, A. de; Freitag, D.: Argument mining for scholarly document processing : taking stock and looking ahead (2021)
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