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@@ -15,6 +15,6 @@ Welcome to the Hugging Face page of the **Huawei NETOP (NETwork OPtimization)**
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  Our team is a bridge between innovative AI technologies and practical applications in the telecom sector. We aim to drive advancements in network efficiency, scalability, and intelligent automation through the seamless integration of human expertise and AI.
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  ### 🛠️ Our Resources
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- This repository hosts valuable resources for the telecom and AI communities. Among them are [**TeleQnA**](https://huggingface.co/datasets/netop/TeleQnA), a comprehensive dataset designed to evaluate the telecom-specific knowledge of Large Language Models (LLMs), and the [embedding database of **Telco-RAG**](https://huggingface.co/datasets/netop/3GPP-R18), a Retrieval-Augmented Generation (RAG) system tailored to enhance LLM understanding and application of 3GPP standards.
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  Find additonal resources in our [Github](https://github.com/netop-team).
 
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  Our team is a bridge between innovative AI technologies and practical applications in the telecom sector. We aim to drive advancements in network efficiency, scalability, and intelligent automation through the seamless integration of human expertise and AI.
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  ### 🛠️ Our Resources
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+ This repository hosts valuable resources for the telecom and AI communities. Among them are [**TeleQnA**](https://huggingface.co/datasets/netop/TeleQnA) and [**TeleMath**](https://huggingface.co/datasets/netop/TeleMath), comprehensive datasets designed to evaluate the telecom-specific knowledge and mathematic problem-solving capabilities of Large Language Models (LLMs). It also hosts the [embedding database of **Telco-RAG**](https://huggingface.co/datasets/netop/3GPP-R18), a Retrieval-Augmented Generation (RAG) system tailored to enhance LLM understanding and application of 3GPP standards.
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  Find additonal resources in our [Github](https://github.com/netop-team).