From 1a74a0497d4169a9526196230b7eac57de53c044 Mon Sep 17 00:00:00 2001
From: Sabine Gillner <129939502+ivy-sgi@users.noreply.github.com>
Date: Thu, 4 Jul 2024 16:15:51 +0200
Subject: [PATCH] Update README.md

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 # Vertex AI Google
 
-- Gemini 1.5 Pro is a foundation model from Google that performs well at a variety of multimodal tasks such as visual understanding, classification, summarization, and creating content from image. It's adept at processing visual and text inputs such as photographs and screenshots.
-- Vertex AI Gemini 1.5 Pro is a product from Google that has been specifically optimized and integrated into Google's Vertex AI platform.
-- Our app helps user to chat directly with Gemini 1.5 and VertexAI Gemini 1.5 Pro by sending text and images. It seamlessly allows to toggle between 2 applications together.
+Vertex AI is a platform offered by Google Cloud designed specifically for developing and deploying machine learning models. It provides a suite of services and tools to support the entire lifecycle of machine learning projects, from data processing and preparation to model development, deployment, and management in production. 
 
-## Demo
-
-### Submit with model VertexAI-Gemini
+For our connector, we have focused on the Gemini model. Gemini is an AI model, optimized for multimodal tasks, particularly **processing visual and textual inputs**. It enables functionalities such as 
+- visual understanding
+- classification
+- summarization
+- and text generation based on images.
 
-![](images/chat-with-vertexAi.jpg)
+## Demo
 
-### Submit with model Gemini
+### Use Case: Text Generation based on images
 
 ![](images/chat-with-gemini.jpg)
 
 ### Switch between the two models using a dropdown menu
 
-![](images/select-model-to-chat.jpg)
+![](images/select-model-to-chat.jpg) 
+
+Note: For our simple "Cat-use-case" it does not make a difference using the Vertex-AI-API or the Gemini-model directly.
+
+Use Vertex AI if you rather would like to use the cloud based Google AI universe (BigDataQuery, ModelTraining and - deployment, Monitoring and logging).
+If you are looking for a rather flexible, low-cost and ease of use API than use the Gemini-API directly.
 
 ## Setup