Power Point Slides - LLM Functional Calling


LLM Functional Calling

Purpose: LLM (Large Language Models) functional calling refers to the ability of large language models like GPT-3 to execute specific functions or tasks based on user input. This feature allows users to interact with the model in a more dynamic and practical manner.

Usefulness: LLM functional calling enhances the capabilities of language models by enabling them to perform tasks beyond generating text. Users can leverage this functionality to request information, perform calculations, automate processes, and more, making the models more versatile and interactive.

OpenAI and Gemini Function Calling

Platform Function Calling
OpenAI OpenAI's API allows developers to integrate LLM functional calling into their applications. By sending specific prompts or queries to the API, users can trigger the model to perform desired functions and return the results.
Gemini Gemini, a blockchain-based platform, also utilizes LLM functional calling to enable users to interact with smart contracts and decentralized applications. Through predefined commands and triggers, users can execute functions on the Gemini platform.