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

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