PAFT: A Parallel Training Paradigm for Effective LLM Fine-Tuning.
Shiva Kumar PentyalaZhichao WangBin BiKiran RamnathXiang-Bo MaoRegunathan RadhakrishnanSitaram AsurNa ChengPublished in: CoRR (2024)
Keyphrases
- fine tuning
- fine tuned
- viable alternative
- fine tune
- bayesian networks
- training algorithm
- domain specific
- parallel processing
- neural network
- virtual environment
- parallel implementation
- message passing
- cost effective
- back propagation
- online learning
- evolutionary algorithm
- multi agent
- multiscale
- high quality
- case study
- decision trees
- genetic algorithm