Gemini Embedding 2 Supports Search Across 100+ Languages

Gemini Embedding 2 ships cross-modality retrieval with Matryoshka vectors, offering flexible dimensions for cost and accuracy tradeoffs.
Tech Times

7 Must-Try Google Gemini Prompts That Reveal the Full Power of AI Capabilities

Unlock Google Gemini AI with these 7 prompts demonstrating research, coding, music, and travel capabilities efficiently.

Google Gemini Embedding 2 Supports Text, Images, Audio, PDFs & Short Videos

Google Gemini Embedding 2 unifies text, images, audio, PDFs, and video; it supports 3,072-dimension vectors, simplifying retrieval stacks.
MobiGyaan

Google unveils Gemini Embedding 2 with Multimodal Input Support and MRL technology

Google has announced Gemini Embedding 2, a new multimodal embedding model built on the Gemini architecture. The model is designed to process multiple types of ...
InfoQ

Mistral AI Releases Pixtral Large: a Multimodal Model for Advanced Image and Text Analysis

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
EurekAlert!

Researchers create multimodal sentiment analysis method that improves detection of human emotions while reducing computational cost

Multimodal sentiment analysis (MSA) is an emerging technology that seeks to digitally automate extraction and prediction of human sentiments from text, audio, and video. With advances in deep learning ...