Mini toolsDefinition
Large-scale AI models trained on vast amounts of data that serve as a base for various downstream tasks. These models can be fine-tuned for specific applications.
Detailed Explanation
Foundation models are large neural networks trained on broad data sets that learn general-purpose representations useful for many tasks. They typically use self-supervised learning on massive datasets and can be adapted to specific tasks through fine-tuning or prompting. These models exhibit emergent capabilities and can serve as a foundation for building task-specific applications.
Use Cases
Language processing Computer vision Multi-modal applications Transfer learning
