Traditional language models have limitations as they are restricted to the data they were trained on, but function calling can make them more dynamic and action-oriented.
Function calling allows language models to perform tasks beyond their internal capabilities by invoking external functions, tools, APIs, or scripts.
Models do not execute functions directly but call out to external tools when needed, transforming them into dynamic assistants.
Function calling acts as the missing link between passive language models and active intelligent agents, giving them the ability to take meaningful action and not just respond.