Multi-Attention MoE

Multi-Point Cross-Attention Context: Sequence-Level Associations

Epochs

Attention Depth

Decay (ε)

0.900

States Mapping

Model Configuration

Training Cycles 1200

Learning Rate (α) 0.15

Training Convergence

Context-Aware Evaluation

No evaluation data. Train the agent first.

Multi-Attention Console

Attention Decoder

Attention Words (Source)

Seed Tokens (Current)

Multi-Point Attention: This system uses a weighted co-occurrence matrix. Instead of one root topic, the agent calculates how often each candidate appears in a sentence with any of your attention words.