Meta’s Vision-Language Shift VL-JEPA Beats Bulky LLMs

VL-JEPA predicts meaning in embeddings, not words, combining visual inputs with eight Llama 3.2 layers to give faster answers you can trust.
EE World Online

Multimodal AI workloads run on single processor

The MIPS S8200 is a RISC-V neural processing unit designed to run transformer-based and agentic AI models directly on ...
VentureBeat

Cohere adds vision to its RAG search capabilities

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Cohere has added multimodal embeddings to its search model, allowing ...
SiliconANGLE

Cohere releases Embed 4: a multimodal AI model designed for agentic search

Artificial intelligence startup Cohere Inc. today launched Embed 4, its latest AI model designed to provide embeddings for search and retrieval for AI applications such as assistants and agents.
SiliconANGLE

Meta open-sources multimodal ImageBind model to advance AI research

Meta Platforms Inc. today released the code for ImageBind, an internally developed artificial intelligence model that can process six different types of data. Meta says ImageBind outperforms some ...
VentureBeat

Multimodal RAG is growing, here’s the best way to get started

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more As companies begin experimenting with ...
Geeky Gadgets

Unlock Next-Level RAG Performance with the Jina v4 Embedding Model

What if the key to unlocking next-level performance in retrieval-augmented generation (RAG) wasn’t just about better algorithms or more data, but the embedding model powering it all? In a world where ...