The key to addressing these challenges lies in separating the encoder and decoder components of multimodal machine learning models.

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

The encoder–decoder approach was significantly faster than LLMs such as Microsoft’s Phi-3.5, which is a decoder-only model.

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