Google Vertex Vision - Analytics - GenAI - Vertex Matching Engine

Vertex Vision 

Feed real-time streaming video

Pick existing models

Plug custom vision models

Architecture references and GenAI - Vision + Text + Catalog Management

Summary items

• Finetuning with sample images - Few shot learning
• Step 1 - Image Embedding Extractor - Vertex AI Embedding Extractor to extract embedding for image
• Step 2 - Vertex Matching Engine to fetch top and similar images
• Step 3 - Create a new copy for images and new Text, and Upload to the product database

Pre-requisites - Catalog of images

Ref - Accelerate product catalog management with generative AI 

Step 1 - Embedding Extract 

Step 2 - Similar Products

Step 3 - Add Descriptions

Step 4 - Prompt based enrichment

Advantage - Language translations supported

Step 5 - Catalog image creation

Ref -  Accelerating product innovation with generative AI

Step 1- Text data import - reviews, product info

Step 2 - Extract insights from uploaded info

Step 3 - QnA

Step 4 - Product Generation from concept

Summary

• Concept one-liner (1 word)
• Features from concept details (Few lines)
• Prepare description with features (Product V1 Description)
• Description to create Images (Image template creation)
• Inspiration with details and images (Draft Product Ready)

Keep Exploring!!!