Fine Tuning
Adapt commercial and open-source pretrained models to your tasks.
Model tuning for specific tasks, applications, behaviours, and languages; tailored to user-specific needs including corpora and benchmarking goals. Multi-Strategy Ongoing Model Refinement using using supervised, unsupervised and self-supervised learning
- Model assessment, selection and configuration
- Training Strategy selection
- Data preparation and cleaning
- Feature engineering
- Model initialization and optimization
- Hyperparameter tuning
- Pre-training setup and initialization
- Supervised learning preparation
- Unsupervised learning preparation
- Self-supervised learning preparation
- Evaluation and validation of pre-trained models