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аналитика - Multimodal Language Models
Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages
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。
MiniGPT-5: Interleaved Vision-and-Language Generation via Generative Vokens
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。
Probing Multimodal Large Language Models for Global and Local Semantic Representations
Intermediate layers of Multimodal Large Language Models encode more global semantic information than the topmost layers.
Reka Core, Flash, and Edge: A Series of Powerful and Versatile Multimodal Language Models
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.
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