Fourier Transform
AI Infrastructure
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-scale AI systems trained on extensive datasets, enabling them to understand and generate complex data such as text, images, or code. They serve as versatile bases for many applications by being adaptable through fine-tuning, allowing developers to customize and optimize their performance for specific tasks across diverse domains like natural language processing, computer vision, and more.
Use Cases
- •Building a chatbot by fine-tuning a foundation model on customer service datasets.
Related Terms
Other terms in the AI Infrastructure category