AI Glossary.
Expert System
A type of AI model that performs tasks based on predetermined expertise hard-coded by humans to simulate the judgment of a human expert.
Expert System
A type of AI model that performs tasks based on predetermined expertise hard-coded by humans to simulate the judgment of a human expert.
Explainability
An approach to building responsible AI by making AI models and their decision-making processes transparent and easy to understand.
Explainability
An approach to building responsible AI by making AI models and their decision-making processes transparent and easy to understand.
Few Shot Learning
Training an AI model by giving it a few examples to improve its performance on a specific task.
Few Shot Learning
Training an AI model by giving it a few examples to improve its performance on a specific task.
Fine-Tuning
Customizing an AI model for specific tasks by making small adjustments after initial training.
Fine-Tuning
Customizing an AI model for specific tasks by making small adjustments after initial training, usually by sending additional data and adjusting final layers or parameters.
Foundation Model
An AI model trained on diverse, unstructured data to create a general or "base model" that can be further fine-tuned for specific tasks.
Foundation Model
An AI model trained on diverse, unstructured data to create a general or "base model" that can be further fine-tuned for specific tasks.
This glossary acts as an essential reference tool of artificial intelligence terms, serving as a valuable resource for both beginners and experts in the field.