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 ...
A generalized architectural blueprint for building efficient MLLMs. This template achieves efficiency through a combination of component choices and data flow optimization. Key strategies include: (1) ...
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 ...
Nvidia (NVDA) has released its new Nemotron 3 Nano Omni model, which is designed to help developers build and deploy more ...
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The deployment of Large Language Models (LLMs) on edge devices represents a paradigm shift in artificial intelligence, ...
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 ...
LG AI Research today announced the release of EXAONE 4.5, its latest multimodal AI model capable of simultaneously understanding and reasoning across both text and images.
H2O.ai Inc. on Thursday introduced two small language models, Mississippi 2B and Mississippi 0.8B, that are optimized for multimodal tasks such as extracting text from scanned documents. The models ...
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