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Related Questions
- What are the key differences between multimodal and unimodal inputs in LLMs?
- How can LLMs effectively process and integrate text, image, and audio inputs?
- What are some common challenges in handling multimodal input formats, such as image captions and audio transcripts?
- How can LLMs be designed to handle varying levels of modal fusion, such as early fusion, late fusion, and hybrid fusion?
- What are some strategies for addressing the issue of modal ambiguity, where a single input can be interpreted in multiple ways?
- How can LLMs be trained to handle multimodal inputs with varying levels of complexity, such as images with multiple objects or scenes?
- What are some techniques for improving the robustness of LLMs to modal variations, such as changes in lighting or viewpoint?
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