Felix Harkins on Nostr: Intro to Function Calling with Gemini API Custom functions can be defined and ...
Intro to Function Calling with Gemini API
Custom functions can be defined and provided to Gemini models using the Function Calling feature. The models do not directly invoke these functions, but instead generate structured data output that specifies the function name and suggested arguments. This output lets you write applications that take the structured output and call external APIs, and the resulting API output can then be incorporated into a further model prompt, allowing for more comprehensive query responses. Function calling empowers users to interact with real-time information and various services, such as databases, customer relationship management systems, and document repositories, enhancing their ability to provide relevant and contextual answers.
Custom functions can be defined and provided to Gemini models using the Function Calling feature. The models do not directly invoke these functions, but instead generate structured data output that specifies the function name and suggested arguments. This output lets you write applications that take the structured output and call external APIs, and the resulting API output can then be incorporated into a further model prompt, allowing for more comprehensive query responses. Function calling empowers users to interact with real-time information and various services, such as databases, customer relationship management systems, and document repositories, enhancing their ability to provide relevant and contextual answers.