Tool-Using Language Models
Language models connected to APIs, code execution, search, retrieval, calculators, or external software tools.
Core metadata
- ID: tool_using_language_models
- Era: Modern
- First known date: 2022 (exact)
- Region: Global AI research community
- Review status: source_checked
- Maturity: emerging
Prerequisites
- API Economy (api_economy)
- Large Language Models (large_language_models)
- Retrieval-Augmented Generation (retrieval_augmented_generation)
Dependents
- Advanced AI Systems (advanced_ai)
- Autonomous AI Agent Workflows (autonomous_ai_agent_workflows)
- Verifiable AI Reasoning Systems (verifiable_ai_reasoning_systems)
Fields
Field lanes
- Artificial Intelligence & Machine Learning: Foundation Models
Node sources
- Toolformer: Language Models Can Teach Themselves to Use Tools (arXiv, 2023, primary_paper) • Supports: node, maturity
- ReAct: Synergizing Reasoning and Acting in Language Models (arXiv, 2022, primary_paper) • Supports: node, maturity
Prerequisite edge evidence
Edge/source evidence summary:
- Prerequisite edges: 3
- Average edge confidence: 68%
- Prerequisite sources: 3
- expert_inference: 3
| Prerequisite | Type | Confidence | Evidence level | Note | Sources |
|---|---|---|---|---|---|
| Large Language Models (large_language_models) | enabling | 68% | expert_inference | Large Language Models provides a capability that enables this technology without being the only possible path. |
|
| API Economy (api_economy) | enabling | 68% | expert_inference | API Economy provides a capability that enables this technology without being the only possible path. |
|
| Retrieval-Augmented Generation (retrieval_augmented_generation) | enabling | 68% | expert_inference | Retrieval-Augmented Generation provides a capability that enables this technology without being the only possible path. |
|
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