Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Pannier, Baptiste"'
Autor:
Penedo, Guilherme, Malartic, Quentin, Hesslow, Daniel, Cojocaru, Ruxandra, Cappelli, Alessandro, Alobeidli, Hamza, Pannier, Baptiste, Almazrouei, Ebtesam, Launay, Julien
Large language models are commonly trained on a mixture of filtered web data and curated high-quality corpora, such as social media conversations, books, or technical papers. This curation process is believed to be necessary to produce performant mod
Externí odkaz:
http://arxiv.org/abs/2306.01116
Autor:
Launay, Julien, Tommasone, Elena, Pannier, Baptiste, Boniface, François, Chatelain, Amélie, Cappelli, Alessandro, Poli, Iacopo, Seddah, Djamé
Access to large pre-trained models of varied architectures, in many different languages, is central to the democratization of NLP. We introduce PAGnol, a collection of French GPT models. Using scaling laws, we efficiently train PAGnol-XL (1.5B parame
Externí odkaz:
http://arxiv.org/abs/2110.08554
Fine-tuning of pre-trained transformer models has become the standard approach for solving common NLP tasks. Most of the existing approaches rely on a randomly initialized classifier on top of such networks. We argue that this fine-tuning procedure i
Externí odkaz:
http://arxiv.org/abs/2004.14074
Autor:
Pannier, Baptiste
Ce travail de thèse consistait en premier lieu à accélérer un modèle de Monte Carlo Cinétique Atomique visant à simuler l’évolution de la microstructure d’alliages modèles du type FeCuMnNiSiP représentatifs de l’acier de cuve sous irr
Externí odkaz:
http://www.theses.fr/2017LIL10061/document
Publikováno v:
In Carbon September 2015 91:395-407
Autor:
Lechner, Christoph, Pannier, Baptiste, Baranek, Philippe, Forero-Martinez, Nancy C., Vach, Holger
Publikováno v:
The Journal of Physical Chemistry - Part C; March 2016, Vol. 120 Issue: 9 p5083-5100, 18p