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Apply for community grant: Personal project (gpu)
Thanks for this opportunity..
I’m writing to request a GPU grant to support our work in advancing state-of-the-art embedding models for low-resource languages, with a focus on Arabic. While many tools and models exist for widely spoken languages, Arabic—despite being one of the most spoken languages globally—remains underrepresented in advanced retrieval-augmented generation (RAG) systems and embedding models.
Our project, featuring the Matryoshka Embedding Model, is pushing the boundaries of what’s possible in Arabic contextual embeddings and retrieval tasks. This model stands out as a state-of-the-art solution, offering multi-layered, highly efficient embeddings that can adapt to a range of Arabic NLP tasks, from question-answering to information retrieval.
However, developing and evaluating these models requires some computational power, especially as we test across various datasets and contexts to ensure robustness and effectiveness. With GPU support, we could dramatically accelerate our work, allowing us to:
- Expand our evaluation to include a wider variety of Arabic datasets.
- Continue innovating for low-resource languages, where the need for cutting-edge technology is crucial.
Your support would help us contribute something truly meaningful to the global AI and NLP community, particularly in the underrepresented space of Arabic language technology.
Thank you for considering our application.
We look forward to the opportunity to make a lasting impact in this critical area.
Omer