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  # chatbot-dhnl-v3
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  ## Introduction 馃帀
 
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  <!-- <p style="text-align: justify;">
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- Large Language Models (LLMs) are increasingly demonstrating their importance in addressing complex natural language processing tasks. However, they are still limited in generating text related to personalized datasets. Building a support system for answering questions in Vietnamese for students at Nong Lam University, Ho Chi Minh City, based on academic regulations, is a critical and practical task.
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  This study focuses on researching methods for preprocessing Vietnamese data and fine-tuning Large Language Models (LLMs) to align with the specific language characteristics and content of the university's academic regulations.
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  Additionally, the research team has constructed a dataset of the university's academic regulations and developed a Vietnamese text generation service to answer questions related to this dataset, which has been integrated into a chat website utilizing this service.
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  </p> -->
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  # chatbot-dhnl-v3
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  ## Introduction 馃帀
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  <!-- <p style="text-align: justify;">
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+ Large Language Models (LLMs) are increasingly demonstrating their importance in addressing complex natural language processing tasks. However, they are still limited in generating text related to personalized datasets. Building a support system for answering questions in Vietnamese for students at Nong Lam University, Ho Chi Minh City, based on academic regulations, is a critical and practical task.
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  This study focuses on researching methods for preprocessing Vietnamese data and fine-tuning Large Language Models (LLMs) to align with the specific language characteristics and content of the university's academic regulations.
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  Additionally, the research team has constructed a dataset of the university's academic regulations and developed a Vietnamese text generation service to answer questions related to this dataset, which has been integrated into a chat website utilizing this service.
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  </p> -->
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+ Large Language Models (LLMs) are increasingly demonstrating their importance in addressing complex natural language processing tasks. However, they are still limited in generating text related to personalized datasets. Building a support system for answering questions in Vietnamese for students at Nong Lam University, Ho Chi Minh City, based on academic regulations, is a critical and practical task.
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+ This study focuses on researching methods for preprocessing Vietnamese data and fine-tuning Large Language Models (LLMs) to align with the specific language characteristics and content of the university's academic regulations.
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+ Additionally, the research team has constructed a dataset of the university's academic regulations and developed a Vietnamese text generation service to answer questions related to this dataset, which has been integrated into a chat website utilizing this service.
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+
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+ - **Developed by:**
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+ - Nguy峄卬 膼膬ng Ph瓢峄沜
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+ - V农 Ng峄峜 Thanh Tr煤c
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+
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+ - **Funded by:** [Bamboo Capital Group](https://bamboocap.com.vn) and EraX
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+ - **Model type:** Multimodal Transformer with over 7B parameters
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+ - **Languages (NLP):** Primarily Vietnamese with multilingual capabilities
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+ - **License:** Apache 2.0
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+ - **Fine-tuned from:** [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)
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