
低リソース言語のための多モーダルLLMを開発するための方法を探る。


coremsg

amharic-llama-and-llava-multimodal-llms-for-low-resource-languages


Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages


title_rewrite


新しいモデルMiniGPT-5は、画像とテキストの生成を統合するために「generative vokens」を導入し、多様なベンチマークで効果的な改善を実証します。


minigpt-5-interleaved-vision-and-language-generation-via-generative-vokens


MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens



Intermediate layers of Multimodal Large Language Models encode more global semantic information than the topmost layers.


probing-multimodal-large-language-models-for-global-and-local-semantic-representations


Probing Multimodal Large Language Models for Global and Local Semantic Representations



Reka Core, Flash, and Edge are a series of powerful multimodal language models developed by Reka that can process and reason with text, images, video, and audio inputs, outperforming many larger models on a range of language and vision tasks.


reka-core-flash-and-edge-a-series-of-powerful-and-versatile-multimodal-language-models


Reka Core, Flash, and Edge: A Series of Powerful and Versatile Multimodal Language Models
