Mixture-of-Experts Architecture

The Mixture-of-Experts (MoE) architecture is the backbone of Solphie-1S Foundation Model. This architecture allows Solphie to efficiently scale and specialize its AI models by utilizing different experts, each specialized in a specific domain.

Rather than using a single monolithic model for all tasks, MoE leverages multiple smaller models (or experts) that are specialized in areas like code comprehension, economic modeling, and security.

Each expert is activated based on the input it receives, ensuring that the AI model performs optimally for a wide range of tasks while keeping the computational cost efficient.

The MoE approach enables Solphie to adapt to various blockchain-related challenges and provide precise solutions in areas such as contract optimization, attack detection, and economic forecasting.