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One post tagged with "Embeddings"

Transforming text, images, and structured data into numerical vector representations for AI-powered search, recommendation systems, and NLP tasks. Covers dense, sparse, and hybrid embeddings, along with techniques like word2vec, BERT, CLIP, and AWS Titan for multimodal search and retrieval.

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Vectorizing multimodal e-commerce product data with AWS Titan: a practical guide

· 23 min read
Norah Sakal
Norah Sakal
AI Consultant & Developer

Vectorizing multimodal e-commerce product data with AWS Titan: a practical guide

Learn how to transform e-commerce product data into numerical vectors using AWS Titan.

This guide show you how to use a multimodal model to create embeddings from both text and images, enabling better search, recommendations, and data analysis.