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 ...
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A recent hands-on comparison put three local large language models—Gemma 4 E4B, gpt-oss 20B, and Qwen 3.5 9B—through identical real-world tasks to assess practical usability. The tests, run on an RTX ...
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.
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