Nov. 28, 2023, 6:01 p.m. | /u/0blue2brown

Machine Learning

Hi r/MachineLearning,

I wanted to share my open-source implementation of a really interesting work I came across in my research on fine-tuning language models, orthogonal fine-tuning.

[Orthogonal fine-tuning (OFT)]( is a more robust, stable, and sample-efficient alternative to LoRA that was originally developed for fine-tuning diffusion models. While LoRA updates the pretrained weight matrix by adding a product of two low-rank matrices, OFT multiplies pretrained layer weights by a learnable orthogonal matrix to apply a constrained transformation.

The authors of …

easy feedback fine-tuning implementation language language models library machinelearning pytorch pytorch library research work

Data Scientist (m/f/x/d)

@ Symanto Research GmbH & Co. KG | Spain, Germany

Data Analyst, Client Insights and Analytics - New Graduate, Full Time

@ Scotiabank | Toronto, ON, CA

Consultant Senior Data Scientist (H/F)

@ Publicis Groupe | Paris, France

Data Analyst H/F - CDI

@ Octapharma | Lingolsheim, FR

Lead AI Engineer

@ Ford Motor Company | United States

Senior Staff Machine Learning Engineer

@ Warner Bros. Discovery | CA San Francisco 153 Kearny Street