Published on:
14 March 2024
Primary Category:
Computation and Language
Paper Authors:
Louis Owen,
Vishesh Tripathi,
Abhay Kumar,
Biddwan Ahmed
Komodo-7B models achieve top results in Indonesian and regional languages
They outperform GPT-3.5, Aya-101, Llama-2, and other models
Komodo offers direct translation from English into 11 languages
This helps bridge educational gaps in diverse Indonesian regions
The models show strong capabilities in translation, QA, sentiment tasks
Komodo excels at Indonesian and regional languages
The Komodo-7B language models demonstrate state-of-the-art performance in Indonesian and 11 regional languages in tasks like translation, question answering, and sentiment analysis. They outperform previous benchmarks from models like GPT-3.5 and Cohere's Aya-101. A key benefit is enhanced educational accessibility through direct translation from English into diverse regional languages.
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Evaluating large language models for healthcare queries
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