Understanding Multimodal LLMs
Read OriginalThis article provides a technical overview of multimodal large language models (LLMs) that can process inputs like text, images, audio, and video. It explains core concepts, use cases like image captioning, and compares recent models, including Meta's Llama 3.2. The author also details two primary architectural approaches for building these models: the Unified Embedding Decoder Architecture and the Cross-modality Attention Architecture.
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