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Transfer Learning
AI Glossary Term
What is Transfer Learning?
Definition
Applying knowledge learned in one task or domain to improve another task.
Related terms
Domain Adaptation
Methods that transfer a model trained in one domain to perform better in another domain.
API (Application Programming Interface)
A structured way for one software system to send requests to and receive responses from another system.
Classification
A task where a model assigns an input to one or more predefined categories.
Fine-Tuning
Continuing training on domain-specific data to adapt a pre-trained model to a specific task.
Instruction Tuning
Fine-tuning a model on instruction-response pairs to improve task following.
Zero-Shot Learning
Solving tasks without task-specific examples by relying on prior general knowledge.
Learn more in our free guides
Deep Learning
Reinforcement Learning
Machine Learning Basics
Supervised Learning
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