« Peaufinage de l'espace latent » : différence entre les versions
(Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' XXXXXXXXX ''' == Anglais == ''' 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 interpretabilit... ») |
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''' | ''' peaufinage de représentations ''' | ||
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''' | ''' 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. --> | |||
== Source == | == Source == | ||
[https:// | [https://arxiv.org/pdf/2404.03592 Source : ''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://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://github.com/stanfordnlp/pyreft Source : github - PYREFT] | |||
[[Catégorie: | [[Catégorie:Publication]] | ||
Version du 12 juin 2024 à 14:32
En chantier
Définition
XXXXXXXXX
Français
peaufinage de représentations
peaufinage d'espace latent
Anglais
representation fine-tuning
Source
Source : ReFT: Representation Finetuning for Language Models, Wu et al. (2024)
Source : ReFT: Representation Finetuning for Language Models, Shaoni Mukherjee (2024)
Contributeurs: Claude Coulombe, Patrick Drouin, wiki
