Multimodal Search Engine Agents Powered by BLIP-2 and Gemini – Towards Data Science
Building Multimodal Fashion Assistant Agents with Text and Image-Based Search
Feb 19, 2025
15 min read
This post was co-authored with Rafael Guedes.
Introduction
Traditional models can only process a single type of data, such as text, images, or tabular data. Multimodality is a trending concept in the AI research community, referring to a model’s ability to learn from multiple types of data simultaneously. This new technology (not really new, but significantly improved in the last few months) has numerous potential applications that will transform the user experience of many products.
One good example would be the new way search engines will work in the future, where users can input queries using a combination of modalities, such as text, images, audio, etc. Another example could be improving AI-powered customer support systems for voice and text inputs. In e-commerce, they are enhancing product discovery by allowing users to search using images and text. We will use the latter as…
The post Multimodal Search Engine Agents Powered by BLIP-2 and Gemini – Towards Data Science first appeared on One SEO Company News.
source: https://news.oneseocompany.com/2025/02/19/multimodal-search-engine-agents-powered-by-blip-2-and-gemini-towards-data-science_2025021960197.html
Your content is great. However, if any of the content contained herein violates any rights of yours, including those of copyright, please contact us immediately by e-mail at media[@]kissrpr.com.