Summary of Sutra: Scalable Multilingual Language Model Architecture, by Abhijit Bendale and Michael Sapienza and Steven Ripplinger and Simon Gibbs and Jaewon Lee and Pranav Mistry
SUTRA: Scalable Multilingual Language Model Architecture
by Abhijit Bendale, Michael Sapienza, Steven Ripplinger, Simon Gibbs, Jaewon Lee, Pranav Mistry
First submitted to arxiv on: 7 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper introduces SUTRA, a multilingual Large Language Model (LLM) architecture capable of understanding, reasoning, and generating text in over 50 languages. The design decouples core conceptual understanding from language-specific processing, enabling efficient and scalable learning. Employing a Mixture of Experts framework, SUTRA demonstrates both computational efficiency and responsiveness, surpassing existing models like GPT-3.5 and Llama2 by 20-30% on Massive Multitask Language Understanding (MMLU) benchmarks for multilingual tasks. The paper also explores the broader implications of its architecture for future multilingual AI, highlighting potential benefits in democratizing access to AI technology globally and improving equity and utility in regions with non-English languages. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SUTRA is a new kind of computer program that can understand and work with many different languages. It’s like a super smart translator that can learn and improve over time. The creators of SUTRA made it so it doesn’t get stuck on one language, but can switch between them easily. This makes it really good at understanding and generating text in many different languages. In fact, it’s better than other similar programs by 20-30%! This could be very helpful for people who don’t speak English as their first language, and could even help make the internet more accessible to everyone. |
Keywords
» Artificial intelligence » Gpt » Language understanding » Large language model » Mixture of experts
