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How Function calling makes LLMs Truly smart

  • 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.

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