Pre Training

Train fully customized models from scratch.

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

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