Domain & Taks Adaptation
Adapt top-of-the-line artificial intelligence models to specific, organization-centered, custom needs.
Model customization for new tasks or domains. This can involve retraining models with specialized datasets, tweaking model architectures, or applying transfer learning techniques to leverage knowledge from related tasks.
- Task and domain research and analysis
- Adaptation Strategy design and planning
- Model Assessment and selection
- Dataset preparation
- Training models for transfer learning
- Fine-tune of models for optimal performance
- Evaluation of model performance and determine baseline
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