Uncertainty quantification in fine-tuned LLMs using LoRA ensembles.
Oleksandr BalabanovHampus LinanderPublished in: CoRR (2024)
Keyphrases
- fine tuned
- agent technology
- fine tuning
- domain specific
- inherent uncertainty
- dc motor
- decision trees
- uncertain data
- ensemble methods
- database systems
- random forest
- neural network ensembles
- data sets
- weighted voting
- classifier ensemble
- expected utility
- ensemble learning
- incomplete information
- general purpose
- multi class
- e learning
- artificial intelligence
- learning algorithm
- machine learning
- neural network