« Peaufinage de représentations » : différence entre les versions


Aucun résumé des modifications
Aucun résumé des modifications
 
(4 versions intermédiaires par 2 utilisateurs non affichées)
Ligne 1 : Ligne 1 :
== En chantier ==
 
== Définition ==
== Définition ==
XXXXXXXXX


== Français ==
== Français ==
Ligne 7 : Ligne 6 :


''' peaufinage d'espace latent '''
''' peaufinage d'espace latent '''


== Anglais ==
== Anglais ==
''' representation fine-tuning '''
''' representation fine-tuning '''
<!-- PYREFT, a representation fine-tuning (ReFT) library that supports adapting internal language model representations via trainable interventions. With fewer fine-tuning parameters and more robust performance, pyreft can boost fine-tuning efficiency, decrease fine-tuning cost, while opening the doors to study the interpretability of adapting parameters. -->
<!-- PYREFT, a representation fine-tuning (ReFT) library that supports adapting internal language model representations via trainable interventions. With fewer fine-tuning parameters and more robust performance, pyreft can boost fine-tuning efficiency, decrease fine-tuning cost, while opening the doors to study the interpretability of adapting parameters. -->
== Source ==
== Source ==


[https://arxiv.org/pdf/2404.03592  Source : ''ReFT: Representation Finetuning for Language Models'', Wu et al. (2024)]
[https://arxiv.org/pdf/2404.03592  ''ReFT: Representation Finetuning for Language Models'', Wu et al. (2024)]


[https://blog.paperspace.com/reft-representation-finetuning-for-language-models/  Source : ''ReFT: Representation Finetuning for Language Models'', Shaoni Mukherjee (2024)]
[https://blog.paperspace.com/reft-representation-finetuning-for-language-models/  ''ReFT: Representation Finetuning for Language Models'', Shaoni Mukherjee (2024)]


[https://medium.com/@techsachin/representation-fine-tuning-reft-a-powerful-parameter-efficient-way-to-fine-tune-language-models-3bc6dd14e8b5  Source: ''Representation fine-tuning (ReFT): A Powerful Parameter-Efficient Way to Fine-tune Language Models'', Sachin Mukar]
[https://medium.com/@techsachin/representation-fine-tuning-reft-a-powerful-parameter-efficient-way-to-fine-tune-language-models-3bc6dd14e8b5  ''Representation fine-tuning (ReFT): A Powerful Parameter-Efficient Way to Fine-tune Language Models'', Sachin Mukar]


[https://github.com/stanfordnlp/pyreft  Source : github - PYREFT]
[https://github.com/stanfordnlp/pyreft  Github - PYREFT]




[[Catégorie:Publication]]
[[Catégorie:GRAND LEXIQUE FRANÇAIS]]

Dernière version du 13 juin 2024 à 23:30



Contributeurs: Patrick Drouin, wiki