Zero-Shot Learning
Zero-shot learning lets an AI model perform a new task or recognize an unseen category without task-specific labeled examples.
#TransferLearning
Explore AIstify's latest reporting, research, and expert analysis tagged with "transfer learning", collected in one continuously updated archive.
Related Posts
Foundation Model
A foundation model is a large, broadly trained AI model that can be adapted or prompted for many different tasks and applications.
Fine-Tuning
Fine-tuning adapts a pretrained AI model to a specific task, domain, or behavior by continuing training on targeted examples.
Multitask Learning
By
Ethan Caldwell
• 1 min read
Multitask learning trains one model on several related objectives so shared representations can improve multiple tasks.
Pretraining
By
Daniel Mercer
• 1 min read
Pretraining teaches an AI model broad patterns from large datasets before the model is prompted or adapted for specific downstream tasks.
Transfer Learning
By
AIstify Team
• 1 min read
A technique that adapts knowledge from one trained model to a new but related task. It speeds up training, improves efficiency, and reduces the need for large datasets.