•1 min read•from Machine Learning
Model Surgery: Techniques for Editing and Transferring Internal Representations [R]
Abstract:
This work explores methods for modifying, transferring, and restructuring internal representations inside large models. The paper introduces a set of techniques for “model surgery,” enabling controlled edits to latent spaces, representation transfer between models, and structural adjustments without full retraining. The goal is to provide practical tools for understanding and manipulating internal model behavior at a finer granularity.
Paper: https://doi.org/10.5281/zenodo.19467270
Code: https://github.com/HeavenFYouMissed/model-surgery-paper
[link] [comments]
Want to read more?
Check out the full article on the original site
Tagged with
#natural language processing for spreadsheets
#generative AI for data analysis
#Excel alternatives for data analysis
#rows.com
#AI formula generation techniques
#self-service analytics tools
#large dataset processing
#business intelligence tools
#collaborative spreadsheet tools
#no-code spreadsheet solutions
#data visualization tools
#data analysis tools
#model surgery
#internal representations
#representation transfer
#latent spaces
#modifying
#transferring
#restructuring
#structural adjustments