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pro vyhledávání: '"Paaß, Gerhard"'
Autor:
Paaß, Gerhard, Giesselbach, Sven
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a rev
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/63548
Autor:
Paaß, Gerhard, Giesselbach, Sven
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a rev
Externí odkaz:
http://arxiv.org/abs/2302.08575
Autor:
Paaß, Gerhard
In this paper the elicitation of probabilities from human experts is considered as a measurement process, which may be disturbed by random 'measurement noise'. Using Bayesian concepts a second order probability distribution is derived reflecting the
Externí odkaz:
http://arxiv.org/abs/1304.1139
Autor:
Paass, Gerhard
The EM-algorithm is a general procedure to get maximum likelihood estimates if part of the observations on the variables of a network are missing. In this paper a stochastic version of the algorithm is adapted to probabilistic neural networks describ
Externí odkaz:
http://arxiv.org/abs/1303.5737
Autor:
Paaß, Gerhard
Probabilistic reasoning systems combine different probabilistic rules and probabilistic facts to arrive at the desired probability values of consequences. In this paper we describe the MESA-algorithm (Maximum Entropy by Simulated Annealing) that deri
Externí odkaz:
http://arxiv.org/abs/1303.5422
Autor:
Bienert, Jörg, Broch, Roland, Bunk, Patrick, Burchard, Aljoscha, Cann, Vanessa, Deetjen, Ben, Dickmann, Alex, Flores-Herr, Nicolas, Friedmann, Laszlo, Götz, Christopher, Haenel, Fabio, Hillemann, Dennis, Lambers, Kim, Lux, Lukas, Otterbach, Johannes, Paass, Gerhard, Röhl, Charlene, Schmeier, Sven, Susallek, Philipp, Strauch-Rötting, Boris, Süme, Oliver, Temath, Christian, Tesch, Jakob, Timmermann, Hauke, Uszkoreit, Hans
Wie leistungsstark große KI-Modelle bzw. KI-Foundation-Modelle1 bereits sind, zeigen diese einleitenden Worte. Sie wurden nicht von einem der vielen Forscher:innen und Expert:innen geschrieben, die an dieser Studie mitgewirkt haben, sondern von dem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0074ed13654c5a850b60a238b4eba947
Autor:
Paass, Gerhard, Giesselbach, Sven
This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent years, a rev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______610::24a737396ba07757d724c4e451455f2c
https://publica.fraunhofer.de/handle/publica/442190
https://publica.fraunhofer.de/handle/publica/442190
Autor:
Paass, Gerhard
Whether through voice assistants, chatbots, or the automatic analysis of documents, rapid developments in AI are helping speech technologies make inroads. But how does AI manage to understand the subtleties of human language? Language is the medium t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______610::486d5350b96acdaaabb9d96f6912a4c3
https://publica.fraunhofer.de/handle/publica/427588
https://publica.fraunhofer.de/handle/publica/427588
Autor:
Paass, Gerhard
Ob Sprachassistenten, Chatbots oder die automatische Analyse von Dokumenten: Die rasanten Entwicklungen in der KI machen Sprachtechnologien mittlerweile allgegenwärtig. Doch wie gelingt es der KI, die Feinheiten der menschlichen Sprache zu verstehen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______610::8d70726d0bbd4a4365549a1536534252
https://publica.fraunhofer.de/handle/publica/419949
https://publica.fraunhofer.de/handle/publica/419949