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- Can you explain the role of attention mechanisms in Infermatic.ai's architecture?
- How does Infermatic.ai's multi-layered transformer model allow for contextual understanding?
- What is the significance of contextualized embeddings in Infermatic.ai's architecture?
- Can you describe how Infermatic.ai's architecture handles ambiguity in language?
- How does Infermatic.ai's use of graph-based representation enable context-dependent meaning grasping?
- Can you elaborate on the importance of contextualized attention in Infermatic.ai's model?
- What role does pre-training play in enabling Infermatic.ai to grasp context-dependent meanings in language?
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