Overview
An approach to AI that uses human-readable symbols and rules to represent problems and derive solutions through logical reasoning.
More in Artificial Intelligence
AI Model Registry
Infrastructure & OperationsA centralised repository for storing, versioning, and managing trained AI models across an organisation.
Zero-Shot Prompting
Prompting & InteractionQuerying a language model to perform a task it was not explicitly trained on, without providing any examples in the prompt.
Bayesian Reasoning
Reasoning & PlanningA statistical approach to AI that uses Bayes' theorem to update probability estimates as new evidence becomes available.
Chain-of-Thought Prompting
Prompting & InteractionA prompting technique that encourages language models to break down reasoning into intermediate steps before providing an answer.
AI Benchmark
Evaluation & MetricsStandardised tests and datasets used to evaluate and compare the performance of AI models across specific tasks.
Federated Learning
Training & InferenceA machine learning approach where models are trained across decentralised devices without sharing raw data, preserving privacy.
In-Context Learning
Prompting & InteractionThe ability of large language models to learn new tasks from examples provided within the input prompt without parameter updates.
AI Transparency
Safety & GovernanceThe practice of making AI systems' operations, data usage, and decision processes openly visible to stakeholders.