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Gemma 4's unified architecture and reasoning mode enable it to outperform larger models in human-rated tasks while maintaining high efficiency.
Gemini Embedding 2's unified multimodal embeddings beat specialized models across diverse tasks and even generalize zero-shot to niche fields like astronomy and culinary arts.
Distilling patch-text alignment knowledge from a teacher model to a student surprisingly *improves* the student's alignment beyond that of the teacher.
