Paper
LLMs & Texto
FastMix: Fast Data Mixture Optimization via Gradient Descent
FASTMIX automates optimal data mixture discovery during training by formulating mixture selection as a bilevel optimization problem that jointly optimizes mixture coefficients and…
Hugging Face · Daily Papers
·Haoru Tan, Sitong Wu
·
·▲ 3 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Haoru Tan, Sitong Wu, Yanfeng Chen, Jun Xia, Ruobing Xie, Bin Xia
- 3 upvotes da comunidade
- Temas: bilevel optimization, mixture coefficients, differentiable iterative optimization, gradient-based optimization, iterative optimization procedure, inner loop
Resumo
Resumo original (em inglês), extraído do paper:
FASTMIX automates optimal data mixture discovery during training by formulating mixture selection as a bilevel optimization problem that jointly optimizes mixture coefficients and model parameters through iterative updates.
// relacionados
Leia também
Blog
How Businesses Are Building Specialized AI They Can Trust
Blog
Fika Jobs raises $4M to build a video-first hiring platform where AI agents interview candidates
Blog
Build real agentic apps using CUGA: two dozen working examples on a lightweight harness
Blog