Update README.md
Browse files
README.md
CHANGED
@@ -14,9 +14,24 @@ tags:
|
|
14 |
---
|
15 |
# chatbot-dhnl-v3
|
16 |
## Introduction 馃帀
|
|
|
17 |
<!-- <p style="text-align: justify;">
|
18 |
-
|
19 |
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.
|
20 |
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.
|
21 |
</p> -->
|
22 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
---
|
15 |
# chatbot-dhnl-v3
|
16 |
## Introduction 馃帀
|
17 |
+
|
18 |
<!-- <p style="text-align: justify;">
|
19 |
+
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.
|
20 |
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.
|
21 |
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.
|
22 |
</p> -->
|
23 |
|
24 |
+
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.
|
25 |
+
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.
|
26 |
+
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.
|
27 |
+
|
28 |
+
- **Developed by:**
|
29 |
+
- Nguy峄卬 膼膬ng Ph瓢峄沜
|
30 |
+
- V农 Ng峄峜 Thanh Tr煤c
|
31 |
+
|
32 |
+
- **Funded by:** [Bamboo Capital Group](https://bamboocap.com.vn) and EraX
|
33 |
+
- **Model type:** Multimodal Transformer with over 7B parameters
|
34 |
+
- **Languages (NLP):** Primarily Vietnamese with multilingual capabilities
|
35 |
+
- **License:** Apache 2.0
|
36 |
+
- **Fine-tuned from:** [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)
|
37 |
+
|