Training & Optimization

Transfer Learning

Leveraging knowledge learned from one task/domain to improve performance on a related task with less data.

  • Pre-training: Explore how Pre-training relates to Transfer Learning
  • Fine-Tuning: Explore how Fine-Tuning relates to Transfer Learning
  • Domain Adaptation: Explore how Domain Adaptation relates to Transfer Learning

Why It Matters

Understanding Transfer Learning is crucial for anyone working with training & optimization. This concept helps build a foundation for more advanced topics in AI and machine learning.

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This term is part of the comprehensive AI/ML glossary. Explore related terms to deepen your understanding of this interconnected field.

Tags

training-optimization pre-training fine-tuning domain-adaptation

Related Terms

Fine-Tuning

The process of further training a pre-trained model on a specific dataset to adapt it for a particular task or domain.

Pre-training

Training a model on a large dataset (often self-supervised) before fine-tuning on specific tasks, enabling transfer learning.

Added: November 18, 2025

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