Pre-training
Training a model on a large dataset (often self-supervised) before fine-tuning on specific tasks, enabling transfer learning.
Related Concepts
- Fine-Tuning: Explore how Fine-Tuning relates to Pre-training
- Transfer Learning: Explore how Transfer Learning relates to Pre-training
- Self-Supervised Learning: Explore how Self-Supervised Learning relates to Pre-training
Why It Matters
Understanding Pre-training 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.
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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.
Self-Supervised Learning
Learning representations from unlabeled data by creating supervised tasks from the data itself (masked prediction, contrastive learning).
Transfer Learning
Leveraging knowledge learned from one task/domain to improve performance on a related task with less data.