Search (16 results, page 1 of 1)

Scobel, G.: GPT: Eine Software, die die Welt verändert (2023) 0.05

0.04726316 = sum of:
  0.016351555 = product of:
    0.11446088 = sum of:
      0.11446088 = weight(_text_:de in 839) [ClassicSimilarity], result of:
        0.11446088 = score(doc=839,freq=4.0), product of:
          0.17045991 = queryWeight, product of:
            4.297489 = idf(docFreq=1634, maxDocs=44218)
            0.039665002 = queryNorm
          0.6714827 = fieldWeight in 839, product of:
            2.0 = tf(freq=4.0), with freq of:
              4.0 = termFreq=4.0
            4.297489 = idf(docFreq=1634, maxDocs=44218)
            0.078125 = fieldNorm(doc=839)
    0.14285715 = coord(1/7)
  0.030911604 = product of:
    0.061823208 = sum of:
      0.061823208 = weight(_text_:g in 839) [ClassicSimilarity], result of:
        0.061823208 = score(doc=839,freq=2.0), product of:
          0.14897966 = queryWeight, product of:
            3.7559474 = idf(docFreq=2809, maxDocs=44218)
            0.039665002 = queryNorm
          0.4149775 = fieldWeight in 839, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.7559474 = idf(docFreq=2809, maxDocs=44218)
            0.078125 = fieldNorm(doc=839)
    0.5 = coord(1/2)

Source: https://www.zdf.de/nachrichten/panorama/gpt-ki-literatur-terrax-gert-scobel-kolumne-100.html?utm_source=pocket-newtab-global-de-DE

Rieger, F.: Lügende Computer (2023) 0.03

0.030746078 = sum of:
  0.009249836 = product of:
    0.06474885 = sum of:
      0.06474885 = weight(_text_:de in 912) [ClassicSimilarity], result of:
        0.06474885 = score(doc=912,freq=2.0), product of:
          0.17045991 = queryWeight, product of:
            4.297489 = idf(docFreq=1634, maxDocs=44218)
            0.039665002 = queryNorm
          0.37984797 = fieldWeight in 912, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            4.297489 = idf(docFreq=1634, maxDocs=44218)
            0.0625 = fieldNorm(doc=912)
    0.14285715 = coord(1/7)
  0.021496242 = product of:
    0.042992484 = sum of:
      0.042992484 = weight(_text_:22 in 912) [ClassicSimilarity], result of:
        0.042992484 = score(doc=912,freq=2.0), product of:
          0.13890009 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.039665002 = queryNorm
          0.30952093 = fieldWeight in 912, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0625 = fieldNorm(doc=912)
    0.5 = coord(1/2)

Date: 16. 3.2023 19:22:55
Source: https://steadyhq.com/de/realitatsabzweig/posts/3ed79605-0650-4725-ab35-43f1243b57ee

Luo, L.; Ju, J.; Li, Y.-F.; Haffari, G.; Xiong, B.; Pan, S.: ChatRule: mining logical rules with large language models for knowledge graph reasoning (2023) 0.03

0.028890952 = product of:
  0.057781905 = sum of:
    0.057781905 = sum of:
      0.030911604 = weight(_text_:g in 1171) [ClassicSimilarity], result of:
        0.030911604 = score(doc=1171,freq=2.0), product of:
          0.14897966 = queryWeight, product of:
            3.7559474 = idf(docFreq=2809, maxDocs=44218)
            0.039665002 = queryNorm
          0.20748875 = fieldWeight in 1171, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.7559474 = idf(docFreq=2809, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1171)
      0.026870303 = weight(_text_:22 in 1171) [ClassicSimilarity], result of:
        0.026870303 = score(doc=1171,freq=2.0), product of:
          0.13890009 = queryWeight, product of:
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.039665002 = queryNorm
          0.19345059 = fieldWeight in 1171, product of:
            1.4142135 = tf(freq=2.0), with freq of:
              2.0 = termFreq=2.0
            3.5018296 = idf(docFreq=3622, maxDocs=44218)
            0.0390625 = fieldNorm(doc=1171)
  0.5 = coord(1/2)

Date: 23.11.2023 19:07:22

Heaven, D.; Hinton, G.: "Erschreckend, wenn man das sieht" : KI-Pionier Geoffrey Hinton über KI-Modelle (2023) 0.02

0.021857804 = product of:
  0.043715607 = sum of:
    0.043715607 = product of:
      0.087431215 = sum of:
        0.087431215 = weight(_text_:g in 957) [ClassicSimilarity], result of:
          0.087431215 = score(doc=957,freq=4.0), product of:
            0.14897966 = queryWeight, product of:
              3.7559474 = idf(docFreq=2809, maxDocs=44218)
              0.039665002 = queryNorm
            0.5868668 = fieldWeight in 957, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.7559474 = idf(docFreq=2809, maxDocs=44218)
              0.078125 = fieldNorm(doc=957)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Biographed: Hinton, G.

¬Der Student aus dem Computer (2023) 0.02

0.018809212 = product of:
  0.037618425 = sum of:
    0.037618425 = product of:
      0.07523685 = sum of:
        0.07523685 = weight(_text_:22 in 1079) [ClassicSimilarity], result of:
          0.07523685 = score(doc=1079,freq=2.0), product of:
            0.13890009 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.039665002 = queryNorm
            0.5416616 = fieldWeight in 1079, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.109375 = fieldNorm(doc=1079)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date: 27. 1.2023 16:22:55

Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.01

0.013499687 = product of:
  0.026999375 = sum of:
    0.026999375 = product of:
      0.18899561 = sum of:
        0.18899561 = weight(_text_:3a in 862) [ClassicSimilarity], result of:
          0.18899561 = score(doc=862,freq=2.0), product of:
            0.33628035 = queryWeight, product of:
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.039665002 = queryNorm
            0.56201804 = fieldWeight in 862, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              8.478011 = idf(docFreq=24, maxDocs=44218)
              0.046875 = fieldNorm(doc=862)
      0.14285715 = coord(1/7)
  0.5 = coord(1/2)

Source: https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN

Morris, V.: Automated language identification of bibliographic resources (2020) 0.01

0.010748121 = product of:
  0.021496242 = sum of:
    0.021496242 = product of:
      0.042992484 = sum of:
        0.042992484 = weight(_text_:22 in 5749) [ClassicSimilarity], result of:
          0.042992484 = score(doc=5749,freq=2.0), product of:
            0.13890009 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.039665002 = queryNorm
            0.30952093 = fieldWeight in 5749, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=5749)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date: 2. 3.2020 19:04:22

Bager, J.: ¬Die Text-KI ChatGPT schreibt Fachtexte, Prosa, Gedichte und Programmcode (2023) 0.01

0.010748121 = product of:
  0.021496242 = sum of:
    0.021496242 = product of:
      0.042992484 = sum of:
        0.042992484 = weight(_text_:22 in 835) [ClassicSimilarity], result of:
          0.042992484 = score(doc=835,freq=2.0), product of:
            0.13890009 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.039665002 = queryNorm
            0.30952093 = fieldWeight in 835, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=835)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Date: 29.12.2022 18:22:55

Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.01

0.009273481 = product of:
  0.018546961 = sum of:
    0.018546961 = product of:
      0.037093922 = sum of:
        0.037093922 = weight(_text_:g in 1205) [ClassicSimilarity], result of:
          0.037093922 = score(doc=1205,freq=2.0), product of:
            0.14897966 = queryWeight, product of:
              3.7559474 = idf(docFreq=2809, maxDocs=44218)
              0.039665002 = queryNorm
            0.24898648 = fieldWeight in 1205, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.7559474 = idf(docFreq=2809, maxDocs=44218)
              0.046875 = fieldNorm(doc=1205)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Brown, T.B.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.M.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; Amodei, D.: Language models are few-shot learners (2020) 0.01

0.008743121 = product of:
  0.017486243 = sum of:
    0.017486243 = product of:
      0.034972485 = sum of:
        0.034972485 = weight(_text_:g in 872) [ClassicSimilarity], result of:
          0.034972485 = score(doc=872,freq=4.0), product of:
            0.14897966 = queryWeight, product of:
              3.7559474 = idf(docFreq=2809, maxDocs=44218)
              0.039665002 = queryNorm
            0.23474671 = fieldWeight in 872, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.7559474 = idf(docFreq=2809, maxDocs=44218)
              0.03125 = fieldNorm(doc=872)
      0.5 = coord(1/2)
  0.5 = coord(1/2)

Kurz, C.: Womit sich Strafverfolger bald befassen müssen : ChatGPT (2023) 0.01

0.0065406216 = product of:
  0.013081243 = sum of:
    0.013081243 = product of:
      0.0915687 = sum of:
        0.0915687 = weight(_text_:de in 203) [ClassicSimilarity], result of:
          0.0915687 = score(doc=203,freq=4.0), product of:
            0.17045991 = queryWeight, product of:
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.039665002 = queryNorm
            0.53718615 = fieldWeight in 203, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.0625 = fieldNorm(doc=203)
      0.14285715 = coord(1/7)
  0.5 = coord(1/2)

Source: https://netzpolitik.org/2023/chatgpt-womit-sich-strafverfolger-bald-befassen-muessen/?utm_source=pocket-newtab-global-de-DE#!

Bischoff, M.: Wie eine KI lernt, sich selbst zu erklären (2023) 0.01

0.0065406216 = product of:
  0.013081243 = sum of:
    0.013081243 = product of:
      0.0915687 = sum of:
        0.0915687 = weight(_text_:de in 956) [ClassicSimilarity], result of:
          0.0915687 = score(doc=956,freq=4.0), product of:
            0.17045991 = queryWeight, product of:
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.039665002 = queryNorm
            0.53718615 = fieldWeight in 956, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.0625 = fieldNorm(doc=956)
      0.14285715 = coord(1/7)
  0.5 = coord(1/2)

Source: https://www.spektrum.de/news/sprachmodelle-auf-dem-weg-zu-einer-erklaerbaren-ki/2132727#Echobox=1682669561?utm_source=pocket-newtab-global-de-DE

Al-Khatib, K.; Ghosa, T.; Hou, Y.; Waard, A. de; Freitag, D.: Argument mining for scholarly document processing : taking stock and looking ahead (2021) 0.00

0.0040468033 = product of:
  0.008093607 = sum of:
    0.008093607 = product of:
      0.056655243 = sum of:
        0.056655243 = weight(_text_:de in 568) [ClassicSimilarity], result of:
          0.056655243 = score(doc=568,freq=2.0), product of:
            0.17045991 = queryWeight, product of:
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.039665002 = queryNorm
            0.33236697 = fieldWeight in 568, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.0546875 = fieldNorm(doc=568)
      0.14285715 = coord(1/7)
  0.5 = coord(1/2)

Collard, J.; Paiva, V. de; Fong, B.; Subrahmanian, E.: Extracting mathematical concepts from text (2022) 0.00

0.0040468033 = product of:
  0.008093607 = sum of:
    0.008093607 = product of:
      0.056655243 = sum of:
        0.056655243 = weight(_text_:de in 668) [ClassicSimilarity], result of:
          0.056655243 = score(doc=668,freq=2.0), product of:
            0.17045991 = queryWeight, product of:
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.039665002 = queryNorm
            0.33236697 = fieldWeight in 668, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.0546875 = fieldNorm(doc=668)
      0.14285715 = coord(1/7)
  0.5 = coord(1/2)

Stieler, W.: Anzeichen von Bewusstsein bei ChatGPT und Co.? (2023) 0.00
```
0.0040468033 = product of:
  0.008093607 = sum of:
    0.008093607 = product of:
      0.056655243 = sum of:
        0.056655243 = weight(_text_:de in 1047) [ClassicSimilarity], result of:
          0.056655243 = score(doc=1047,freq=2.0), product of:
            0.17045991 = queryWeight, product of:
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.039665002 = queryNorm
            0.33236697 = fieldWeight in 1047, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1047)
      0.14285715 = coord(1/7)
  0.5 = coord(1/2)
```
Abstract

Ein interdisziplinäres Forschungsteam hat eine Liste von Eigenschaften aufgestellt, die auf Bewusstsein deuten, und aktuelle KI-Systeme darauf abgeklopft. Ein interdisziplinäres Forscherteam hat ein Paper [https://arxiv.org/abs/2308.08708] veröffentlicht, das eine Liste von 14 "Indikatoren" für Bewusstsein enthält, die aus sechs aktuellen Theorien über das Bewusstsein stammen. Aktuelle KI-Modelle wie GPT-3, Palm-E oder AdA von Deepmind weisen demnach einzelne dieser Indikatoren auf. "Es spricht viel dafür, dass die meisten oder alle Bedingungen für das Bewusstsein, die von derzeitigen Theorien vorgeschlagenen Bedingungen für das Bewusstsein mit den bestehenden Techniken der KI erfüllt werden können", schreiben die Autoren. Zum Team gehörte auch der Deep-Learning-Pionier Yoshua Bengio von der Université de Montréal.
Pepper, S.: ¬The typology and semantics of binominal lexemes : noun-noun compounds and their functional equivalents (2020) 0.00
```
0.002312459 = product of:
  0.004624918 = sum of:
    0.004624918 = product of:
      0.032374427 = sum of:
        0.032374427 = weight(_text_:de in 104) [ClassicSimilarity], result of:
          0.032374427 = score(doc=104,freq=2.0), product of:
            0.17045991 = queryWeight, product of:
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.039665002 = queryNorm
            0.18992399 = fieldWeight in 104, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.297489 = idf(docFreq=1634, maxDocs=44218)
              0.03125 = fieldNorm(doc=104)
      0.14285715 = coord(1/7)
  0.5 = coord(1/2)
```
Abstract

The dissertation establishes 'binominal lexeme' as a comparative concept and discusses its cross-linguistic typology and semantics. Informally, a binominal lexeme is a noun-noun compound or functional equivalent; more precisely, it is a lexical item that consists primarily of two thing-morphs between which there exists an unstated semantic relation. Examples of binominals include Mandarin Chinese ?? (tielù) [iron road], French chemin de fer [way of iron] and Russian ???????? ?????? (zeleznaja doroga) [iron:adjz road]. All of these combine a word denoting 'iron' and a word denoting 'road' or 'way' to denote the meaning railway. In each case, the unstated semantic relation is one of composition: a railway is conceptualized as a road that is composed (or made) of iron. However, three different morphosyntactic strategies are employed: compounding, prepositional phrase and relational adjective. This study explores the range of such strategies used by a worldwide sample of 106 languages to express a set of 100 meanings from various semantic domains, resulting in a classification consisting of nine different morphosyntactic types. The semantic relations found in the data are also explored and a classification called the Hatcher-Bourque system is developed that operates at two levels of granularity, together with a tool for classifying binominals, the Bourquifier. The classification is extended to other subfields of language, including metonymy and lexical semantics, and beyond language to the domain of knowledge representation, resulting in a proposal for a general model of associative relations called the PHAB model. The many findings of the research include universals concerning the recruitment of anchoring nominal modification strategies, a method for comparing non-binary typologies, the non-universality (despite its predominance) of compounding, and a scale of frequencies for semantic relations which may provide insights into the associative nature of human thought.

Search (16 results, page 1 of 1)

Authors

Languages

Types

Themes