This article introduces SUTRA, a cutting-edge multilingual Large Language Model that can understand and generate text in over 50 languages. Its architecture separates conceptual understanding from language processing, enhancing multilingual alignment and learning efficiency. Utilizing a Mixture of Experts framework, SUTRA shows significant performance improvements over models like GPT-3.5, achieving 20-30% higher scores on MMLU benchmarks. SUTRA also features online capabilities for real-time responses, addressing factual accuracy while advocating for better AI equity in non-English-speaking regions, thus establishing a new benchmark in multilingual AI.
SUTRA represents a groundbreaking advancement in multilingual LLM architecture, ensuring high-level understanding while utilizing significant efficiency and responsiveness through its innovative Mixture of Experts framework.
The architecture of SUTRA divides the understanding of concepts from the processing of language, which is key to its scalable and effective multilingual learning and alignment.
By successfully surpassing existing models in multilingual performance on MMLU benchmarks, SUTRA sets a new standard in AI, advocating for improved access and equity in AI across non-English-speaking regions.
SUTRA's online capabilities allow it to generate real-time, accurate, and current information while maintaining its core multilingual functionality, marking a significant step forward in AI application.
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