SILX AI
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QUASAR-SUBNET
QUASAR-SUBNET PublicQUASAR is a long-context foundation model and decentralized evaluation subnet built on Bittensor,
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FlowAttention
FlowAttention PublicFlow Attention is a linear-time alternative to traditional Multi-Head Attention. Instead of relying on Query-Key-Value matrices and O(n²) pairwise interactions, it uses learned bidirectional flow d…
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- QUASAR-SUBNET Public
QUASAR is a long-context foundation model and decentralized evaluation subnet built on Bittensor,
SILX-LABS/QUASAR-SUBNET’s past year of commit activity - SI-AGENT Public
SILX-LABS/SI-AGENT’s past year of commit activity - FlowAttention Public
Flow Attention is a linear-time alternative to traditional Multi-Head Attention. Instead of relying on Query-Key-Value matrices and O(n²) pairwise interactions, it uses learned bidirectional flow dynamics to propagate contextual information across sequences
SILX-LABS/FlowAttention’s past year of commit activity - TARS Public
SILX-LABS/TARS’s past year of commit activity - Quasar Public
Quasar-1 is a LLM architecture that uses a Token Temperature Mechanism to refine user inputs by distinguishing between 'hot' (critical) and 'cold' (less relevant) tokens. With Token Temperature-Based Attention Modulation and Prompt Refinement Loops, Quasar-1 enhances accuracy and task-specific performance for more adaptive, context-aware responses.
SILX-LABS/Quasar’s past year of commit activity
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