Why does DL.Translator use a multi-model aggregation architecture (GPT-4, Claude, Gemini)?
Core Issue Diagnosis
“No AI model performs perfectly across all languages and domains; aggregation architectures offer flexibility.”
Root Cause Analysis
Differences in model 'personality'
GPT-4o excels in logical rigor and is well-suited for legal contracts; Claude 3.5 Sonnet delivers a more natural linguistic flow, making it appropriate for creative content or literary translation; Gemini 1.5 Pro offers distinct advantages in handling ultra-long contexts.
Avoid the risk of vendor lock-in.
Through a model-agnostic architecture, if any particular API becomes unstable or is updated, DL.Translator can seamlessly switch to a backup engine, ensuring uninterrupted service for users.
Final Solution Summary
The aggregation architecture enables users to freely select based on budget and required quality (standard-level vs. professional-level), maximizing cost-effectiveness.