Abstract: Embedding models are fundamental to modern Natural Language Processing (NLP), transforming textual data into dense vector representations that capture semantic meaning and relationships.
Reasoner Text, vision Text World understanding, grounding, physical reasoning, task planning, action forecasting, embodied agent reasoning, and autonomous system decision making Generator Text, vision ...
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