LLM Capability
(Redirected from LLM Capabiliti)
Jump to navigation
Jump to search
An LLM Capability is an AI system capability for a large language model.
- Context:
- It can (typically) enable Natural Language Processing through neural computation.
- It can (typically) support Language Understanding through contextual processing.
- It can (typically) perform Language Generation through token prediction.
- It can (typically) handle Language Tasks through model inference.
- It can (often) adapt to New Domains through transfer learning.
- It can (often) improve with Model Scale through emergence.
- It can (often) benefit from Instruction Tuning through prompt engineering.
- ...
- It can range from being a Proven LLM Capability to being a Hypothetical LLM Capability, depending on its verification status.
- It can range from being a Core LLM Capability to being an Advanced LLM Capability, depending on its complexity level.
- It can range from being a General Language Capability to being a Domain-Specific Capability, depending on its specialization scope.
- ...
- Examples:
- Basic LLM Capabilities, such as:
- Advanced LLM Capabilities, such as:
- Emerging LLM Capabilities, such as:
- ...
- Counter-Examples:
- Traditional NLP Capability, which lacks neural foundation.
- Rule-Based Language Capability, which relies on predefined patterns rather than learned behavior.
- Statistical Language Capability, which uses frequency analysis without deep learning.
- See: LLM Task, LLM Performance, LLM Architecture, LLM Training, LLM Evaluation.