Summary
The video introduces Cloud Run as a versatile platform to run backend code in any language, emphasizing the benefits of serverless computing for developers to focus on application development. A demo showcases integrating Gemini into a Cloud Run app with Google client libraries for authentication to Google APIs. The video explains the importance of function calling with Gemini to provide real-time information and demonstrates using Vertex AI APIs and Cloud Jobs for specialized tasks like processing visual content from videos using AI APIs.
Introduction to Cloud Run
Introduction to Cloud Run as the easiest and most convenient place to run backend code in any language. Discussion on the benefits of serverless computing and how it helps developers focus on their application development.
Incorporating Gemini into Cloud Run App
Demonstration on how to incorporate Gemini into a Cloud Run app, including using Google client libraries for authentication to Google APIs.
Function Calling with Gemini
Explanation and demonstration of function calling with Gemini to prevent language model from getting Frozen in time and provide real-time information like weather or currency conversion.
Specialized Vertex AI APIs and Cloud Jobs
Demonstration on using specialized Vertex AI APIs to perform specific tasks and Cloud Jobs to run a container to completion. Example shown is processing visual words from a video without audio using AI APIs.
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