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README.md
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<h1>Polyglot</h1>
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<img src="./logo.png" alt="An illustration of a Tucano bird showing vibrant colors like yellow, orange, blue, green, and black." height="400">
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In recent years, generative AI has seen remarkable advancements, with foundation models emerging as the cornerstone of much of the research and development in the field. However, the prevailing deep learning paradigm demands vast resources in terms of data and computation. This data-intensive approach has inadvertently deepened the divide between high-resource and low-resource languages. High-resource languages benefit from the bulk of development efforts and readily available resources, while low-resource languages face significant challenges in achieving comparable performance and autonomy.
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In recent years, generative AI has seen remarkable advancements, with foundation models emerging as the cornerstone of much of the research and development in the field. However, the prevailing deep learning paradigm demands vast resources in terms of data and computation. This data-intensive approach has inadvertently deepened the divide between high-resource and low-resource languages. High-resource languages benefit from the bulk of development efforts and readily available resources, while low-resource languages face significant challenges in achieving comparable performance and autonomy.
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