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Nielzac/CoM_Audio_Image_LLM_Generation

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Hugging Face2024-03-10 更新2024-06-11 收录
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https://hf-mirror.com/datasets/Nielzac/CoM_Audio_Image_LLM_Generation
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资源简介:
--- license: mit --- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ca8f782ffd350b48631ca9/9dfxj7kE4eSYSZMcAEYFr.png) ## This dataset is a Mixture of DIBT/10k_prompts_ranked, lj_speech and Falah/image_generation_prompts_SDXL ### Repartition ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ca8f782ffd350b48631ca9/VDH7qbRQ_7bSzcoHE8GG2.png) ### Why this dataset ? Training a multimodal router holds crucial significance in the realm of artificial intelligence. By harmonizing different specialized models within a constellation, the router plays a central role in intelligently orchestrating tasks. This approach not only enables precise classification but also paves the way for diverse applications of artificial intelligence, thereby enhancing our ability to successfully navigate through the complexities of multimodal data. In essence, training a multimodal router represents a vital strategic advancement, unveiling exciting new prospects for the future of AI.
提供机构:
Nielzac
原始信息汇总

数据集概述

数据集组成

  • DIBT/10k_prompts_ranked
  • lj_speech
  • Falah/image_generation_prompts_SDXL

许可证

  • MIT许可证

数据集重要性

  • 用于训练多模态路由器,这对于人工智能领域至关重要。通过协调不同专业模型,路由器在智能地协调任务中发挥核心作用,不仅实现精确分类,还为人工智能的多样化应用铺平道路,增强处理多模态数据复杂性的能力。
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