10 terms
Showing all terms starting with F
Providing an LLM with a small number of examples in the prompt to guide it toward a desired output format or behaviour.
Further training a pre-trained model on a smaller, task-specific dataset to specialise it for a particular domain or use case.
A large-scale AI model trained on broad data that serves as a base for many downstream applications via fine-tuning or prompting.
A pricing model where core features are free and advanced capabilities or higher usage limits require a paid subscription.
A classification metric that balances precision and recall into a single score, useful when class distribution is uneven.
The manual process of selecting and transforming raw data variables into features that improve model learning and performance.
Using a pre-trained model to convert raw inputs (text, images) into numerical representations without further training.
A privacy-preserving ML approach where models are trained across multiple devices or servers without sharing raw data.
An image editing AI technique that intelligently fills in or replaces selected areas of an image based on surrounding context.
A capability in LLM APIs that allows the model to invoke external tools or APIs in a structured way, enabling agentic workflows.
