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--- |
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title: README |
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https://cdn-uploads.huggingface.co/production/uploads/65218753b0e0d57453efdfe0/SjBpYE4rFLi7b0D1xhCuq.png |
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--- |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65218753b0e0d57453efdfe0/SjBpYE4rFLi7b0D1xhCuq.png" |
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alt="Navid Banner" |
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_**We are a team that seeks to connect our people's past with the world's future.**_ |
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At **Navid**, we build Arabic-first and multilingual GenAI solutions across domains, laser-focused on delivering real value for people and organizations. |
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## What We Do |
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- **Data pipelines & governance** — automated collection, filtering, and curation |
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- **Synthetic data & augmentation** — domain-balanced recipes for Arabic tasks |
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- **Training & fine-tuning** — SFT, DPO, PPO, RLHF/RLAIF |
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- **Custom LLMs & evals** — Arabic/multilingual models with robust evaluation |
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- **Advanced RAG** — secure retrievers, re-rankers, hybrid search & guardrails |
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- **Agentic workflows** — LangGraph/LangChain multi-agent apps with memory/tools |
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- **Deployment** — on-prem, VPC, or managed GPU with full observability |
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## Highlights |
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We contribute to the Arabic AI ecosystem with: |
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- **No.1 Arabic model** - one of the top models for its size trained by Navid. |
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- **First Arabic RAG Leaderboard** — open-sourced for the community |
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- **RAG made for Arabic** — 1st RAG made for Arabic and English retrieval |
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