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--- |
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base_model: vilm/vinallama-7b-chat |
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library_name: peft |
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license: llama2 |
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datasets: |
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- nluai/dataset_dhnl_qna_v2 |
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language: |
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- vi |
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tags: |
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- vietnamese |
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- academic |
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- regulations |
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- nlu |
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pipeline_tag: text-generation |
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--- |
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# chatbot-dhnl-v3 |
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## Introduction 🎉 |
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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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|
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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. |
|
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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- **Developed by:** |
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- [Nguyễn Đăng Phước](https://www.linkedin.com/in/phuoc-nguyen-dang/) |
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- Vũ Ngọc Thanh Trúc |
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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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- **Fine-tuned from:** [nluai/dataset_dhnl_qna_v2](hhttps://huggingface.co/datasets/nluai/dataset_dhnl_qna_v2) |
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## Examples 🧩 |
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<div align="left"> |
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<img src="assets/demo_chat1.png" width="2000"/> |
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</div> |
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<div align="left"> |
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<img src="assets/demo_chat2.png" width="2000"/> |
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</div> |
