An LLM capability to invoke external functions or APIs during generation, enabling AI agents to take actions and access real-time data.
Tool calling is when an AI model is allowed to invoke specific “tools” (APIs, databases, search, calculators) to fetch data or perform actions. It’s how you move from chat to systems that can answer with evidence and produce structured results.
Browse related definitions in the same glossary category.
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Techniques to anchor AI outputs in verified sources and facts, reducing hallucinations and improving reliability.
AI Hallucination
A phenomenon where a large language model generates false or illogical information but presents it as fact.
Citation Confidence
A measure of how accurately an AI model attributes information to its original source.
Content Provenance (C2PA)
Technical standards for verifying the origin and authenticity of digital content, increasingly important for AI-generated media.
Embeddings
Numerical representations of text, images, or other data that capture semantic meaning, enabling similarity search and machine learning.
Fine-Tuning
Adapting a pre-trained AI model to a specific task or domain by training it on additional specialised data.
Related GEO services, audits, and frameworks that operationalise Tool Calling in commercial execution.
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