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SI (Synthetic Intelligence Architecture)
Verified signatureSI (Synthetic Intelligence Architecture) Cross-Cultural Logit Fusion via Contrastive Decoding & String-Based Soft Stopping An advanced, hardware-optimized AI R&D prototype engineered to mitigate Large Language Model (LLM) hallucinations and cultural biases at the neuron level (logits) during inference time. Run directly on a free-tier Google Colab T4 GPU with zero-configuration overhead. The Architecture Philosophy Traditional multi-agent systems rely on text-level evaluation (one model generates a string, and another reads/validates it via API). This wrapper-reliant mechanism introduces massive latency, high token costs, and fails to inspect the actual semantic distributions. SI (Synthetic Intelligence) takes a fundamentally deeper approach: Logit-Level Co-Decoding. By aligning two distinct open-source model families trained on completely different geographical and cultural datasets—Meta's Llama (Western/US-centric dataset bias) and Alibaba's Qwen (Eastern/Asia-centric dataset bias)…d091993 -
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