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Related Questions
- What are the key differences between multimodal and unimodal large language models?
- How do multimodal LLMs integrate visual and language inputs to generate more accurate responses?
- What are the common architectures used in multimodal LLMs, such as CNN-LSTM and Transformer-XL?
- What are the challenges in aligning visual and language inputs in multimodal LLMs to ensure accurate understanding?
- How do multimodal LLMs handle out-of-vocabulary words and unseen concepts in visual inputs?
- What role does transfer learning play in fine-tuning multimodal LLMs for specific tasks such as image captioning and visual question answering?
- What are the current limitations of multimodal LLMs in terms of scalability and computational resources?
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