Overview
An AI program that emulates the decision-making ability of a human expert by using a knowledge base and inference rules.
More in Artificial Intelligence
Neural Processing Unit
Models & ArchitectureA specialised processor designed to accelerate neural network computations in edge devices and mobile platforms.
In-Context Learning
Prompting & InteractionThe ability of large language models to learn new tasks from examples provided within the input prompt without parameter updates.
AutoML
Training & InferenceAutomated machine learning that automates the end-to-end process of applying machine learning to real-world problems.
AI Benchmark
Evaluation & MetricsStandardised tests and datasets used to evaluate and compare the performance of AI models across specific tasks.
AI Model Card
Safety & GovernanceA documentation framework that provides standardised information about an AI model's intended use, performance characteristics, limitations, and ethical considerations.
Tool Use in AI
Prompting & InteractionThe capability of AI agents to invoke external tools, APIs, databases, and software applications to accomplish tasks beyond the model's intrinsic knowledge and abilities.
Bayesian Reasoning
Reasoning & PlanningA statistical approach to AI that uses Bayes' theorem to update probability estimates as new evidence becomes available.
Hyperparameter Tuning
Training & InferenceThe process of optimising the external configuration settings of a machine learning model that are not learned during training.