The AI industry has long been dominated by text-based large language models (LLMs), but the future lies beyond the written word. Multimodal AI represents the next major wave in artificial intelligence ...

A surge in related works is happening on a daily basis. More recent works can be found on the GitHub page (https://github.com/BradyFU/Awesome-Multimodal-Large ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

Picture a world where your devices don’t just chat but also pick up on your vibes, read your expressions, and understand your mood from audio - all in one go. That’s the wonder of multimodal AI. It’s ...

Based on the previous works, this Review found two increasing trends: (1) Transformers and graph neural networks are often integrated as encoders and then combined with multiple pre-training tasks to ...

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and ...

Llama has evolved beyond a simple language model into a multi-modal AI framework with safety features, code generation, and multi-lingual support. Llama, a family of sort-of open-source large language ...

Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...

Microsoft Corp. today expanded its Phi line of open-source language models with two new algorithms optimized for multimodal processing and hardware efficiency. The first addition is the text-only ...