The fusion model is trained to interpret contextual signals across modalities, enabling it to detect intent, sentiment, or patterns with greater accuracy. This drives stronger performance in tasks like classification, retrieval, or generation.
The fusion model is trained to interpret contextual signals across modalities, enabling it to detect intent, sentiment, or patterns with greater accuracy. This drives stronger performance in tasks like classification, retrieval, or generation.