

Our Portfolio
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Model initialization, configuration and set up for new and existing tasks using supervised, unsupervised and/or 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






































