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LLMs gain action capabilities with AI Function Calling

AI Function Calling enables large-language models (LLMs) to interact with external tools and APIs, transforming them from simple text generators into actionable assistants. This capability allows LLMs to fetch real-time data, query databases, or create calendar events based on user input. The process involves defining functions, their parameters, and descriptions in a structured format, typically JSON, so the LLM can understand when and how to call these tools to fulfill user requests. AI

IMPACT Enables LLMs to perform concrete actions and interact with external systems, expanding their utility beyond text generation.

RANK_REASON The item describes a technique for using LLMs, not a new model release or core research.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs gain action capabilities with AI Function Calling

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  1. dev.to — LLM tag TIER_1 English(EN) · Mustafa ERBAY ·

    Developing Smart Applications with AI Function Calling: A 3-Step Guide

    <p>Expecting an LLM to only generate text is like asking a calculator to only perform addition. But what if we could tell it to fetch the current exchange rate from an external service, query stock status from a database, or create a calendar event? This is precisely where the AI…