AI System Capability
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An AI System Capability is an information processing system capability for an AI system (designed to enable AI tasks within an AI system context).
- Context:
- It can (typically) enable AI Processing through AI computation.
- It can (typically) support AI Task Performance through AI operation.
- It can (typically) handle AI Workloads through AI execution.
- It can (typically) deliver AI Functionality through AI methods.
- ...
- It can (often) adapt to AI Domains through capability adaptation.
- It can (often) improve with AI System Scale through capability enhancement.
- It can (often) evolve through AI System Evolution over capability lifecycle.
- ...
- It can range from being a Basic AI Capability to being an Advanced AI Capability, depending on its capability complexity.
- It can range from being a General AI Capability to being a Specialized AI Capability, depending on its capability scope.
- It can range from being a Current AI Capability to being a Future AI Capability, depending on its capability maturity.
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- Example(s):
- Language Processing Capabilities, such as:
- Vision Processing Capabilities, such as:
- Learning Capabilities, such as:
- ...
- Counter-Example(s):
- Traditional Computing Capability, which lacks AI adaptability.
- Fixed Algorithm Capability, which lacks AI learning.
- Hardware Processing Capability, which lacks AI intelligence.
- See: AI Task, AI Performance, AI System Architecture, AI Training, AI Evaluation.